Job Summary:

• Industry: Facility Management
• Location: Buona Vista
• Working hours: Monday to Friday, 9 am to 6 pm

Job Responsibilities:

• To handle important FM engineering management in the data centre.
• To be responsible for all Planned Preventive Maintenance (PPM) activities
• To manage support fire protection and suppression system, electrical system, water detection system, DCIM, ACMV, genset, etc.
• To be responsible for all security systems, CCTV and card access.
• To handle asset management for DC.
• To manage annual building power shutdown.
• To manage DC shutdown script and ensure all testing and maintenance are conducted orderly.
• To be the first line of escalation point 24x7 under MSL for all critical alarms and equipment
• To manage and raise incident reports.
• To manage lifecycle replacement/sustainment plan to mitigate any risk or breakdown.
• To support and execute all DC projects, including but not limited to delivering and ensuring that all incident reports are recorded.
• To raise, review, and approve all work orders, risk assessments, and method statements
• To follow up and submit quotations for any break-fix and enhancement works.
• To ensure licence renewal
• To be the liaising point with building management for building infra-supporting MSL.
• To support all site work requests when called upon

Job Requirements:

• Candidate must possess at least NITEC/Higher Nitec/Diploma in Engineering/Building
• Candidate must have relevant Data Center Environment experience
• Candidate must be able to start work immediately

By submitting an application or your resume, you are deemed to have consented to Elitez Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice (www.elitez.asia/privacy-policy/). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

We regret that only shortlisted candidates will be notified.

Registration No: R23113834

Position

The position is within the Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

CMI teams are mainly located in Paris, London, New-York, Hong-Kong, India and Singapore. Current position is based out of Singapore and successful candidate will be able to work in an international context with distributed engineering teams striving for highest quality architecture and design.

The Data Framework provides a central data store for all the Front Office Orders, RFQs, Transactions and Collateral information. It also provides Market Data sourcing, Data distribution, client, instrument and referential data and is driven by an electronic Data Dictionary application : Collibra.It acts as a source of data for different regulatory reportings (MIFID 2 , SFTR , MAR etc). The Data Framework team is looking for a development expert on big data technologies to evolve the platform to ingest market data, RFQ (Cross Asset) and distribute data via APIs. The project milestones are ambitious and challenging. The position is ideal for someone with a strong interest in data processing and data science.

Main responsibilities

• Able to conceptualize, propose technical design.
• Contributing to development of high quality fully tested source code complying with deadlines, schedule and coding standards.
• Liaise with business analysts for clarification and understanding of requirements.
• Organize and keep up to date detailed technical documentation
• Develop tests strategy in coordination with project manager / Business Analysts
• Provide technical assistance during user acceptance test
• Support applications in production - analyze and resolve issues as they arise as well as propose optimizations for future.
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems
• Develop specifications and performance requirements.

Qualifications and Profile

• At least 6 years of software development experience with at least 4 years’ experience working with Java
• A strong understanding of recent Java language features.
• Good knowledge of algorithms and data structures, with strong fundamentals in complexity analysis
• Strong ability to analyze code – understand execution flow & debug even without access to a debugger
• Experience with Maven, Git, writing and maintaining Junits/integration tests , BDD.
• At least 5 years of experience with Sql Server or any other RDBM
• Experience in database performance tuning and optimizations

The candidate would need to possess the below skills/expertise

• Java 8 development with multi-threading principles, good knowledge of Java,Spring, Spring Boot, Micro service Architecture, Hibernate or any other ORM framework, Design Patterns, Data structures and objects.
• Apache Storm/Flink/Spark
• Knowledge on AWS is good to have.
• Parrallel processing of the message transformation pipeline to fPML, Json and key/value
• Experience of working with large scale Sql Server database, PostgresQL.
• Kafka publishing/distribution primarily + MQ (optional)
• Microservices based technology. Defining APIs and registering APIs in the service catalogue.
• Systematic dictionarization of services in Collibra good to have.
• APIs and functions, taxonomy of attributes in intefaces (Swagger)
• Knowledge on Docker and Kubernetes (Good to Have).
• Experence in Performance Tuning and optimizations
• Experience with Jira/other issue tracking system.
• Agile methodology(Scrum/Kanban)
• Knowledge on cucumber, Bamboo

Other Professional Skills and Mind-set

• Excellent communication (wriiten and verbal) and interpersonal skills across all levels with demonstrated ability to influence different stakeholders.
• Strong analytical and problem solving skills
• Proficient in software development life cycle
• Autonomy to include implicit deliverables in assignment based on best practices
• Appetite to participate to technical market trends and communities
• Strong sense of confidentiality

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

COMPANY DESCRIPTION

Mediacorp is Singapores largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Serve as primary source of data insights supporting internal and external constituencies
• Analyse and translate data findings into meaningful, actionable insights including synthesising relevant insights from different customer touch points and data sources
• Lead, design and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement
• Institute and adopt best practices in data science, platforms and approaches.
• Establish internal organisational standards and benchmarks
• Work with other teams in Mediacorp to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
• Become an internal authority on Mediacorps data tools and resources
• Support ad-hoc business intelligence and other strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.
• Minimum 5 years hands-on experience in data science, including developing and productionising data science models
• Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
• Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).
• Must possess exceptional business judgment to identify core business objectives; synthesise and interpret disparate quantitative information, and develop commercial insights for key stakeholders

• Degree in Computer Science or Engineering or equivalent work experience
• At least 2-3 years relevant working experience including expertise in enterprise architecture Consulting skills such as interviewing stakeholders, conducting architecture reviews, and consensus building
• Professional experience with n-tier application architectures development, data modelling, data warehouse and integration, service-oriented architectures and XML
• Using automated tools to extract data from primary and secondary sources
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Experience with deployments cloud infrastructure such as AWS, Azure, or Google Cloud
• Experience with automated testing
• Experience in DevOps
• Experience with Microsoft Power BI
• Good in SQL Query
• Additional technical qualifications include hands-on experience in several of the following products or technologies: .NET Development Platform (Visual Studio, .Net Framework), C#, ASP.Net, Transact-SQL, XML, OData, HTML, jQuery, Java script, Soap, Web Services, Agile Development Methodologies, SQL Server, SSRS, SSIS
• Excellent communication skills and strong analytical and conceptual skill

Job Title

Order Entry and Logistics Coordinator

Summary:

Candidate will be responsible for the triage and processing of Service Orders. These Service Orders are related to the coordination of new equipment installations for commercial vessels that have global sailing patterns.

The ideal candidate may have experience working for a Fleet Manager or a Maritime hardware supplier coordinating projects/services on vessels. Or comparable work experience in Field Service Operations for land-based telecommunications.

Essential Duties and Responsibilities:

Include but are not limited to the following:

• Triage and process Service Orders for KVH managed installations (Asia Pacific Region)
• Service Order entry into Baan ERP system
• Coordinate logistics requirements with Asia Pac Sales managers, customers or consignee, via phone and email, to ensure proper delivery of product
• Verify shipping and consignee/forwarding agent information
• Coordination with vessel sailing schedules
• Determination of proper shipping method
• Freight quotes with proper of Incoterms
• Provide needed shipping documentation for country specific Customs clearance
• Liaise with KVH functional groups as needed
• Sales Department – receiving, checking and processing new orders
• Finance Department – unblock orders and receive proper pre-payment from customer as necessary
• Shipping Department – ensure proper delivery terms and deadlines are communicated
• Coordinate service operations including scheduling and distribution of work for technicians, utilizing Salesforce to generate and manage work orders.
• Responsible for updating Salesforce with customer and vessel information
• Enter RMA orders (Return Materials Authorization) and follow up on returns related to Decommissioned units.

Qualifications/ Prerequisites:

• Minimum high school diploma or GCE “A” Level or equivalent required; Diploma.
• Fresh Graduates are welcome
• Demonstration of attention to detail and accuracy to ensure quality of subsequent processes
• Prior experience with international logistics company
• Prior experience working in a CRM system for case management is an added benefit (Salesforce)
• Prior experience working with an ERP system for inventory management is an added benefit (Baan)
• Ability to Problem solve, working independently and as part of a team
• Attention to detail and accuracy is a must
• Good command and knowledge of English with effective communication skills, responsible, reliable and an independent worker.

Salary commensurate with qualification and work experience

Responsibilities:

• Collaborate with the game design and art teams to implement gameplay mechanics, features, and assets using Cocos Creator.
• Write clean, efficient, and maintainable code in JavaScript or TypeScript to ensure game functionality and performance.
• Debug and fix issues, including identifying and addressing bugs and optimizing game performance.
• Create and maintain technical documentation for code, tools, and processes.
• Work on cross-platform game development, ensuring compatibility with various devices and platforms.
• Stay up to date with the latest industry trends, technologies, and best practices in game development.
• Actively participate in team discussions and contribute ideas to enhance the overall game quality and player experience.

Qualifications:

• Background in Computer Science, Game Development, or a related field (or equivalent work experience).
• Strong proficiency in Cocos Creator and experience in JavaScript or TypeScript.
• Solid understanding of game development principles, including game mechanics, physics, and user interfaces.
• Excellent problem-solving and debugging skills.
• A passion for gaming and a strong desire to create engaging and immersive gaming experiences.
• Strong communication and teamwork skills.

Be a Part of Something BIG!

This is a data scientist role in Advanced Analytics team to support Financial & Lifestyle Services (eg. Insurance) on activities related to data exploration, insights discovery, data model curation, campaign experimentation, machine learning model development and automated campaign design.

Make an Impact by:

• Work with business stakeholders to translate opportunities and problem statements into analytical use cases
• Work on customer behaviour analysis to uncover insights related to financial & lifestyle services
• Manage and develop always-on automated campaigns via real-time triggers and events detection
• Ongoing optimization on campaign targeting and refinement on signal & trigger logics
• Continuous exploration & research on internal and external data sources to sharpen the targeting
• Building machine learning models to support campaign activities, eg: uplifting model, propensity models and etc

Skills for Success

• Good degree in engineering, science, applied mathematics, statistics, machine learning, or a related quantitative field.
• Minimum 1-2 year experience in relevant field or fresh graduate with exceptional background.
• Proficient in Python and SQL
• Well-versed in statistics and data science
• Familiar with statistical modelling and data visualization
• Strong organizational skill & conscientious personality.
• Meticulous, proactive, and dynamic with ability to work independently.
• Effective communication and people engagement skills.

Rewards that Go Beyond

• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.

Description of the Company’s background

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Key Responsibilities:
• Responsible for developing data visualisation of Xiaomi international internet business to provide visibility of performance trends.

• Automate data quality monitoring and alerting processes and maintain data integrity and accuracy.

• Support key data platform and/or data scheduling jobs to delivery insights to business operation team.

• Assist in identifying business issues through data analysis, providing feasible solutions to improve future performance.

Job Qualifications:

• Maintain data processing pipeline.

• Deal with large, complex data sets to meet functional / non-functional business requirements.

• Good knowledge of SQL, MS Excel, Python or other analytical tools.

• Experience using a BI/visualisation tool and knowledge of visualization practices.

• At least 5 years of related work experience.

Responsibilities:

•Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.

• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.

• Pushing the limits: This role will be on the cutting edge of our Data / Machine Learning platform. As we push to solve more of our customer challenges, you will be prototyping new features, tools, and ideas. Innovate at a very fast pace to maintain our competitive edge.

• Distributed Processing Engine: You will be masterfully working on the data platform which involves processing of both unbounded and bounded data sources, perform im-memory computation & transformation.

• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.

• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.

• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems

Skills: .

• Qualifications for Data Platform Engineer

Key Requirements:

• IT / CS fundamentals: You have earned at least a Bachelor’s / Master’s in Information Technology / Computer Science, or related degree AND you have a strong ethos of continuous learning.

• Commercial software engineering: You have 11+ years of professional software development experience in multiple programming languages, including modern virtual-machine languages such as Java, as well as common scripting and glue languages such as Python and version control (git), with good analytical & debugging skills. Experience performing root-cause analysis on bugs and performance problems in distributed systems, including network and source-level debugging.

• Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, Hadoop Eco System, HDFS, Apache Storm, Apache Spark. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.

• Cloud Exposure: Strong experience implementing systems and applications using distributed and cloud infrastructure. GCP preferred, but AWS or Azure are also okay.

• Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques. Working knowledge of distributed relational and tabular data stores, message queues, stream processing facilities, and other scalable big-data platform technologies.

• Real Time Systems: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, Storm, Spark Streaming.

• Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration. Advanced, hands-on knowledge of design, implementation, and optimization of big data architectures, pipelines, and data sets.

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

PRODUCT AREA

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

JOB DESCRIPTION

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

ADDITIONAL JOB DESCRIPTION

As Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You'll also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center related technology to working closely with various stakeholders. You will ensure that our goals, missions, and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with Data Centers, Networking, Communication, Hardware, Technical Troubleshooting, and Operating Systems.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

Responsibilities

• Engage clients to identify requirements relating to cyber security solutions for Data Protection
• Proposal, scope and size technical solutions for clients
• Deploy competency’s related projects and provide consultation to clients with regard to the deployment as a Subject Matter Expert (SME)
• Create technical documentation for the solution deployment
• Empower clients through technical enablement
• Provide post-sales support services for corrective and preventive maintenance when necessary

Requirements

• Good Diploma or Bachelor’s Degree in Information Technology
• At least 1 to 4 years of IT security experience
• Experience in leveraging and expanding the capabilities of existing analytical tools and technologies; recommend new technologies as appropriate
• Experience with web security, email security and Cloud Access Security Broker (CASB) and will be preferred
• Positive working attitude
• Good communication and written skills
• Passionate in information security
• Experience in programming and scripting is preferred

Responsibilities

• Engage clients to identify requirements relating to cyber security solutions for Data Protection
• Proposal, scope and size technical solutions for clients
• Deploy competency’s related projects and provide consultation to clients with regard to the deployment as a Subject Matter Expert (SME)
• Create technical documentation for the solution deployment
• Empower clients through technical enablement
• Provide post-sales support services for corrective and preventive maintenance when necessary

Requirements

• Good Diploma or Bachelor’s Degree in Information Technology
• At least 5 to 8 years of IT security experience
• Experience in leveraging and expanding the capabilities of existing analytical tools and technologies; recommend new technologies as appropriate
• Experience with web security, email security and Cloud Access Security Broker (CASB) and will be preferred
• Positive working attitude
• Good communication and written skills
• Passionate in information security
• Experience in programming and scripting is preferred

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kong Chian Natural History Museum (LKCNHM) was established in 2015, but its collection of natural history specimens spans more than two centuries, and continues to increase. Apart from physical specimens, it manages a growing collection of digital resources including images, publications, and other types of digital records which are necessary for research and education. We are seeking a dynamic and suitably qualified individual to lead in, suggest solutions and implement systems/strategies to manage this growing digital footprint and to work with LKCNHM subject specialists to curate and archive the large amount of scientific and other data, and information generated through research on biodiversity in Southeast Asia. The individual will play a pivotal role in ensuring that scientific data and information is managed in such a way that allows easy and smooth access to users, thus supporting the advancement of research and education.

Duties and responsibilities include, but are not limited to the following -

1) Scope and develop a platform to serve as a biodiversity information gateway for Singapore biodiversity information.
2) Assist with all museum-wide aspects of information and data relating to the collections: organizing information, storage, preservation and use of data on the collections
3) Relate and link various databases and other digital resources that come under LKCNHM to be accessible through the biodiversity information gateway.
4) Curate and/or organise the digital collections at LKCNHM, including new genomic, imaging, specimen, collection and other data that will continuously be generated.
5) Specific duties include:

• Setting up and managing core digital platforms/facilities within the LKCNHM.
• Maintaining the biodiversity information gateway for public delivery of data (for use by researchers, educators or interest groups for example).
• Managing and enhancing the integrity and accuracy of the digital collection information systems, including the collection database, and other digital records.
• Working with museum staff to improve specimen metadata, such as through photography, geo-referencing, and linking with host specimen records; and to support the on-line presence of the collection, contributing to the LKCNHM website.
• Facilitating data contribution to national and international data repositories.
• Managing data storage and preservation, including local servers and cloud services, and maintaining an appropriate back-up strategy.
• Recruiting and supervising interns and/or student assistants within the digital collection and biodiversity informatics; ensuring appropriate training, orientation, evaluation and discipline.
• Developing and preparing short monthly and annual reports and project reports for the digital collection.
• Work with the Museum curators and Research Associates to develop and implement policies, standards, and procedures (e.g. developing standard operating procedures for accessioning and databasing of specimen and associated data).
• Other related duties as assigned.

Qualifications/Requirements/Other Info

1) BSc or above in data science or digital management.
2) Two years of working or training experience on data management or similar related work.
3) Strong English writing and verbal skills.
4) Documented ability to multi-task and work well in a team.

Desirable skills:
1) Able to manage multiple stakeholders.
2) Able to manage projects within tight timeline.
3) Some understanding of specimen imaging and digitization.
4) Singapore class 3 driving licence is advantageous.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job roles:

• Drive projects and conduct advanced analytics on related service data using more complex statistical analysis approaches and tools.
• Identify and suggest innovations for data analytics approaches to more effectively detect insights on service process & performance.
• Develop data visualization methodologies and tools to present feedback data analytics findings to management.
• Provide guidance to other stakeholders by using customer insights to support decision-making in operational functions.
• Review and identify ways to improve service data usage, data quality and data management.
• Any other duties that are required to support the team’s objectives.

What you will do:

• Work with all relevant parties/stakeholders to collate business requirement; Undertake and initiate any data analytics requests as directed by management.
• Participate in data management workgroup and committees to drive and support cluster/institution data analytics initiatives.
• Lead and support in problem analysis, opportunities identification, improvement measures definition and proposal recommendation to supervisor, workgroup and management.
• Support the curation and maintenance of data catalogue, Business Intelligence/AI projects etc. Guide and provide advice to users on the right datasets to be use.
• Review and support the users in the report enhancement.
• Plan, Design & Implement various Service Business Analyst Tools by utilizing related technology including AI/Machine Learning, to provide best in class business intelligence opportunity internally, be able to perform business both from pro-active way and re-active way.
• Secure UDIS Uptime & Retail internal awareness & competence to make best use of Business Analytic Tools.

** There is opportunity to convert this position to a permanent role.

Required Competencies / Experiences:

• At least a Bachelor's Degree in Computer Science/Information Technology or equivalent
• Fast learner with eye for details, proactive and self-motivated team player
• Flexible, open to new ideas and able to implement solutions effectively and independently
• Customer service-oriented and strong analytical mind with inclination for problem solving
• Ability to clean and analyse huge datasets using advanced data management and analytics tools (e.g. MS Excel, Power BI, SAS, Tableau, Qlik Sense etc)
• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python is a merit
• Good analytical, problem solving and project management skills.
• Good written and presentation skills
• Able to interact and work well with people at all levels
• Knowledge of automotive aftermarket is a merit
• Good communication skills (written and oral) in English
• Fully proficient in Microsoft Office applications

We, at RegASK are a high growth global RegTech company leveraging technology and a worldwide network of experts to revolutionize regulatory intelligence, focused on serving the LifeSciences (MedTech, CROs, Pharma) and FMCG industries (Food, Personal Care). The RegASK team is highly diverse with more than 10 nationalities across 3 continents, entrepreneurial and very agile, enjoying the benefits of working across industries and around the world. RegASK completed its series A funding round in December 2022 and is currently recruiting highly motivated talent to expand its team and support its ambitious growth plans.

RegASK is an international, diverse and rewarding place to work. If you are a builder, highly autonomous in your working style, and eager to problem solve, we would love to hear from you.

RegASK is part of Sprim Global Investments portfolio, a group of 500+ people in 19 offices across 6 continents, dedicated to finding solutions, discovering innovations, and implementing new ideas to deliver better health.

THE POSITION

Title:

Data Visualization Specialist

We are seeking a highly skilled Data Visualization Specialist to join our team. As a Data Visualization Specialist, you will be responsible for translating data and insights into compelling visual narratives that drive informed decision-making. You will work closely with our data analysts, data scientists, engineers, and other stakeholders to create impactful data visualizations that deliver valuable insights.

Key Responsibilities:

• Data Analysis: Collaborate with data analysts, data scientists, and subject matter experts to understand the data and the insights that need to be conveyed through visualizations.
• Design: Develop visually engaging and user-friendly data visualizations that are tailored to the target audience and objectives.
• Tool Selection: Choose appropriate data visualization tools and technologies based on the nature of the data and the desired output (e.g., charts, graphs, dashboards).
• Data Preparation: Clean, preprocess, and format data to make it suitable for visualization. This may involve data analysis, cleaning, transformation, and integration.
• Visualization Development: Create dynamic, interactive and static data visualizations using Power BI and Python (Matplotlib, Seaborn). Other tools like Tableau or D3.js are bonus, and might be used in the future.
• Interactivity: Implement interactive features in visualizations, allowing users to explore data, filter information, and gain deeper insights.
• Testing and Validation: Ensure the accuracy, functionality, and performance of data visualizations through testing and validation processes.
• Optimization: Optimize data visualizations for performance, responsiveness, and scalability, especially when dealing with large datasets.
• Feedback and Iteration: Gather feedback from stakeholders and end-users and make necessary improvements to enhance the effectiveness of visualizations.
• Documentation: Document the data visualization process, including data sources, methodologies, design decisions, and best practices.

Requirements:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Master's degree is a plus.
• Proven experience (3+ years) in a data-oriented position (such as a Data Analyst or Data Engineer), preferably in a data-rich environment.
• Demonstrable proficiency in data manipulation and analysis tools such as SQL, Python, R, or similar.
• Good understanding of SQL and NoSQL databases.
• Practical hands-on experience with data visualization tool Power BI.
• Strong analytical skills and the ability to extract meaningful insights from complex data sets.
• Solid understanding of statistical concepts and methodologies.
• Excellent communication skills to convey findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work with large datasets.
• Problem-solving mindset with the ability to develop creative solutions to data challenges.

How to Apply:

If you are excited about this opportunity and believe you have the skills and qualifications to excel as our Data Visualization Specialist, please submit your resume accordingly.

We appreciate all applications, but only selected candidates will be contacted for an interview.

Thank you for considering joining the RegASK team. We look forward to reviewing your application!

Job Purpose:  

The Accounts Manager is the main interface between the Company and our partner community. The Accounts Manager is responsible for the ‘complete’ sales cycle for the relevant business partners with the view to maximizing revenue, margin, and partner satisfaction. Having internal resources for assistance, the role is to develop deep relationships with key people inside the business partner and uncover sales opportunities, while delivering ongoing value to the partner.

Responsibilities:

• With assistance from the Channels Director build and execute a call plan that will ensure maximum return from the business partner community.

• Develop a solid understanding of the product range and present an informed overview.

• Up and cross sell each opportunity for maximum margin return and differentiation.

• Understand strengths and weaknesses in the product sets from a technical perspective.

• Liaise with other divisions of the Company, as required, to ensure efficient customer transactions that ultimately deliver a sound buying experience for the Company’s partners.

• Keep CRM up to date to ensure you and the management team have an accurate view of your business.

• Ensure all quotations are followed up and moved through the various levels of a sales cycle with ultimate goal, being of closure.

• Capture and maintain all relevant data needed to sell and renew maintenance.

• Plan, design and implement outbound campaigns as necessary to deliver on agreed margin goals

• Make outbound sales calls to business partners and prospects as per call plan.

• Identify the Company's services opportunities in conjunction with the the Company's Technical Services team.

• Ensure all quotations are built using the company quotation tool.

• Provide Sales Support Specialist with all relevant information necessary to build and configure the ‘winning’ solution.

• Achieve and maintain sales certification for relevant product groups when required

• Ensure all partner issues are resolved promptly and seek management guidance where necessary.

• Ensure all business partners are alerted of any upcoming renewals

• Ensure the CRM is updated and used pro-actively to drive business engagements and forecasting

• Accurately forecast business with Sales Manager on a monthly basis.

• Work with Sales Support and provide support where necessary to ensure timely logging of orders.

Knowledge, Skills and Experience:

• Minimum 4 to 6 years of experience selling IT solutions in the channel required.

• Tertiary IT degree or Diploma preferable

• Relationship Building Skills

• Communication Skills

• Self managed

• Maturity – able to work with all levels within an organization

• Strong business acumen

• Presentation Skills

• Leverage internal relationships and sell the ‘value add’

• Opportunity Closing Skills

• Technically competent

What’s In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At Tech Data, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

Job Purpose:  

The Product Manager has overall responsibility for achieving the sales and profit targets for the related product groups and creating the highest return for both TD SYNNEX and the vendor. While responsible for revenue outcomes, this is a sales enablement position. This will be achieved through marketing programs, sales training, sales support, technical pre-sales support, vendor contract and vendor relationship. These activities, especially sales and marketing are targeted at both the TD SYNNEX extended sales team and the partner community.

Responsibilities:

• Creation of business plans for the vendor product group and associated services.

• Development and implementation of sales enablement programs for TD SYNNEX and partners.

• Ensure that the technical sales support teams are appropriately trained to support the relevant product groups.

• Development and implementation of marketing programs to support product group objectives.

• Creation of joint initiatives with our vendor and business partners.

• Responsible for effective planning, including inventory turns, inventory fulfillment and inventory obsolescence minimisation.

• Implementation of business plans that achieve agreed vendor revenue targets and generate the planned profit outcomes.

• Achievement of revenue plans by brand and by market segment.

• Coordinate the various functions within TD SYNNEX in order to deliver the outcomes agreed in each product plan.

• Ensure that executive business relations with vendor partners are of the highest order, are proactive and that the engagement is continually monitored so that new initiatives can be introduced as required.

• Maintenance and development of operational level vendor relationships.

• In order to execute product leadership it will be necessary to maintain knowledge of sales processes, proposals, pipeline management, partner engagement so that remedial actions can be recommended where necessary.

• Ensuring highest and continuously improving levels of vendor and partner satisfaction.

• Maintain a high level of safety awareness within your team to promote a safe working environment for all team members.

• Maintenance of an accurate pipeline by product group.

• Measurement and maintenance of critical product group performance data in order to ensure that TD SYNNEX meets its vendor commitments and fully leverages all commercial opportunities for rebates and other vendor investment initiatives.

• Business forecasting and business planning for product groups with vendors.

• Provision of various reports for the purposes of commercial decision making.

• Be the advocate and leader for the relevant product groups in TD SYNNEX and be the advocate and leader for TD SYNNEX within the relevant vendor community.

• Provide direction, development and support to ensure the sales team is performing at optimum levels for the relevant product group. This will require a close working relationship with the Channels Sales Director.

• Deal effectively and efficiently with unsatisfactory performance and/or behavior within your team.

• Provide an appropriate example of leadership, by way of behaviors, to the wider organization.

• Proactively contribute as a member of the leadership team to the commercial ‘well-being’ and longevity of the business.

Knowledge, Skills and Experience:

• Minimum 4-6 years experience within IT distribution

• Minimum education level required is a Bachelor’s Degree

• Appropriate vendor product sales certifications

• Strong leadership attributes

• Self-starter

• Results focused

• Sound business acumen

• Ability to work with little direction

• Capacity to lead vertial teams

• Influence business outcomes without having direct control

What’s In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At Tech Data, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

Job Purpose:

The SSM is the main interface between the Company's Customers and Suppliers including the end customer of the Partner. SSM is responsible for business expansion & execution of the suppliers' strategy. The SSM is responsible for the complete sales cycle with an aim to maximizing revenue, Net Gross Profits and Customer satisfaction by developing deep relationships with key people in the supplier organization, partners and end customers. Will be responsible for handling suppliers independently clearly focusing on delivery top-class value-added services.

Responsibilities:

• Create, Develop and implement supplier and vendor specific initiatives.

• Channel Partner and Vendor engagement

• Identify, recruit and enable channel and solutions partners; conduct regular solutions and sales updates, etc.
• Be the sales champion for assigned product solutions among selected high-touch accounts; establish sales development plan targeting business and technical decision markers; plan and execute quarterly target account activities. Execution - Credit management, Order processing, AR Collections

• Operational excellence - pipeline management, forecasting and inventory management

• Plan and execute solutions and services led strategy to grow services revenue.
• Lead quarterly business planning process and business review with respective vendor, ensure close interaction and collaboration among vendors in term of joint GTM strategy and solutions.

  
  Knowledge, Skills and Experience:

  • >5 to 10 Years proven experience in Sales & Marketing is preferred.​ Prior knowledge in end to end network, application and clouds security will be added advantage

  • Relevant experience with resellers would be an added advantage.

  • A proven track record of consistently achieving and often exceeding sales targets.

  • Demonstrate strong capability in planning, strategizing, execution skill and entrepreneurial spirit.

  • Experience in ensuring sales forecast accuracy and operational excellence.

  • Excellent networking abilities with strong communication and interpersonal skills.

  • Highly motivated, results-oriented, resourceful, with a lot of initiative.

  • A team player who enjoys working and leading in cross functional team environment.

  • Strong communication skills and fluent in English.

What’s In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At Tech Data, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

JOB DESCRIPTION

As the Senior Manager, Project Management, you will support the delivery of large Data Centre Projects from their inception to completion, or, depending on your experience, lead our small to medium scale projects. Initially, your team will work closely with “Technical Solutions” to manage the development of the Design, and, with “Procurement” for the LLE & Tendering of Contracts. You will then support the SPM or lead your team in overseeing the construction and commissioning of the project. Working closely with the Authorities, Consultants, Contractors and Suppliers and seamlessly working with both internal and external stakeholders to ensure that the project is completed Safely, to the right Quality, On Time and within Budget. Once the project is commissioned, you will support the SPM or lead the handover of the project to our Operations Teams and end users/tenants.

Note that you will be based in Singapore but may be required to travel overseas for work if you are tasked to assist on overseas projects.

Job Responsibilities:

• Lead (or assist) in the delivery of the projects and be responsible for project performance
• Lead (or assist) in the execution of the technical qualification and planning of pre-deals as the Head of Department shall direct. Lead and manage Deputy Project Managers and Engineers to generate project cost and planning structure for prospective deal engagements
• Lead (or assist) in the execution of approved projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the approved procurement process
• Lead (or assist) in the execution of approved project plans and manage Project Managers, Engineers, Site Supervisors and appointed consultants, contractors, suppliers and vendors to ensure general supervision of the project work and the management of site implementation and all project related matters
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all project related matters including but not limited to below:
  Site project management and track progress of project implementation against the approved schedule
  Cost reports including forecast cash flow of project expenditures, monitoring spending of cost against approved budget, forecast project expenditures, etc.
  Tracking and evaluation of Contractor Claims, Variations, Delay, EoT and Delay Damages
  Statutory Authorities matters
• Lead (or Assist) in managing the inspection of the Project Works at site together with the site team and report to the Senior Project Manager or Head of Project Management promptly on any non-compliance and status updates
• Work closely with the Safety Managers to ensure all construction safety requirements are met and strictly adhere to
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from site and execute the Project Handover timely to Client, Asset Owner and Operation team respectively
• Manage and execute other duties and responsibilities from time to time that are assigned by the Head of Project Management or Senior Project Manager

JOB REQUIREMENTS

• Degree in Project Management, Mechanical, Electrical, Civil Engineering or equivalent
• Minimum 5 years of relevant experience in the Project Management of mission critical facilities
• Experience in managing Data Centre Greenfield Construction is ideal but experience in the construction of pharma/ microelectronics projects also highly desirable
• Strong leadership and communication skills
• Clear understanding of commercial & financial processes (Invoicing, approvals etc)
• Highly proficient in Microsoft Office (Word, Excel, Power Point)
• Very good Administration skills
• Be thorough and pay attention to detail
• Able to work well with others and have good customer service skills
• Able to use your initiative, flexible and open to change
• Strong time management & work well under pressure

[JR2023003186]

Job Description

Essential Duties and Responsibilities

• Design, implement, and optimize data pipelines to ensure efficient data ingestion, storage, and processing for training and fine-tuning LLMs, ensuring data quality, consistency, and relevance, via cloud computing technology.
• Ensure data quality and integrity throughout the pipeline, implementing appropriate data validation and cleansing techniques.
• Develop AI models using Large Language Models (LLMs) to build AI-driven applications such as chatbots, virtual assistants, and other natural language processing (NLP) solutions.
• Customize and fine-tune pre-trained LLMs foir specific tasks and domains, ensuring optimal model performance, while enhancing prompt engineering techniques at the same time.
• Continuously evaluate the performance of LLMs and fine-tuned models, implement optimization techniques to improve their efficiency.
• Evaluate model performance, perform relevant AB tests, and continuously improve accuracy, efficiency, and scalability.
• Collaborate with data engineers and analysts, product managers to understand project requirements, deliver AI solutions, and support the integration of AI models into scalable production systems.
• Stay up-to-date with industry trends and emerging technologies in data science, LLM research, and identify opportunities to apply these advances to improve existing projects.

Requirements

• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.
• Strong in programming languages such as Python, SQL.
• Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers.
• Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask.
• In-depth knowledge of machine learning techniques, Natural Language Processing (NLP), deep learning.
• Proficiency in working with large-scale datasets, data preprocessing, LLMs fine-tuning, model evaluation, and prompt engineering.
• Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights.
• Excellent written and verbal communication skills for coordinating across teams.
• Has a Bachelor's, Master’s or PhD degree in computer science or similar discipline.
• 2+ years of experience in AI and data science, with a strong focus on LLMs and NLP.

Job Description:

As a Business Development Executive at Novosys, you will play a crucial role in the growth and success of our organization. You will be responsible for identifying and securing new business opportunities, fostering client relationships, and promoting our ISO consultancy services. Your primary objective is to drive revenue growth and expand our market presence.

Key Responsibilities:

· Conduct market research to identify potential clients, industries, and regions for ISO consulting services.

· Analyze market trends, competition, and regulatory requirements.

· Generate and qualify leads through various channels, including cold calls, email campaigns, networking, and referrals.

· Maintain a robust sales pipeline.

· Identify client needs and develop customized ISO consulting proposals.

· Conduct presentations and meetings to close deals and acquire new clients.

· Build and maintain strong relationships with clients by providing exceptional service and support.

· Meet and exceed sales targets and revenue goals.

· Develop and implement effective sales strategies.

· Prepare regular reports on sales performance and market insights.

Requirements:

· Bachelor’s degree and above in any disciplines

· Proven experience in Sales or Business Development, preferably in ISO consultancy, service industry or related industries.

· Knowledge of ISO standards and certification processes will be an advantage.

· Excellent communication, negotiation, and presentation skills.

· Results-driven with a strong focus on achieving and exceeding sales targets.

· Proficiency in using CRM software and sales-related tools will be an advantage.

· Self-motivated, proactive, and able to work independently.

· Willingness to travel and meet with clients as needed.

Job Responsibilities:-

• Responsible for the Manufacturing Data Analytics Application
• Owner of Manufacturing Data Analytics Application (PDF Solutions, Exensio)
• Provide 1st Level Application Support, coordination of 2nd & 3rd Level with Application Provider
• Coordination of all stakeholders (users, suppliers, provider)
• Maintain data transport environment and data archive
• Data analysis support for products in design, ramp-up and high-volume manufacturing phase

Job Requirements:-

• Bachelor/Master’s Degree in Engineering with at least 8 years’ experience in the field of IC development and/or production
• Experience in an ATE environment and ATE data format (STDF4)
• Experience in using FTP, Unix, Bash, Python.
• Experience in statistical analysis (Anova, Cpk, etc.)
• Understanding of relational database (Oracle and/or MS SQL)
• Basic knowledge for MoveIt Automation and/or Tibco Spotfire is a plus
• Knowledge in the various fields of IC development (design, test, analysis, verification, layout) and IC production (technology, wafer processing, assembly, production test, quality and reliability, yield, logistics)
• Strong analytical skills and proven competency in problem solving
• Project management experience and good interpersonal skills

Location: Next to Bendemeer MRT

Interested candidates may submit detailed CV with the following info:-

• Current salary, including AWS or Variable Bonus
• Expected salary
• Availability

Senior Data Engineer

• Strong experience in developing Hadoop/Spark.
• Strong experience in data lakes (integration of different data sources into the data lake).
• SQL Stored Procedures/Queries/Functions.
• Unix Scripting.
• Data Architecture (Hadoop).
• Solid understanding data modelling, indexing strategies, and query optimization.
• Experience with distributed computing, parallel processing, and working with large datasets.
• Familiarity with big data technologies such as Hadoop, Hive, and HDFS.
• Job Scheduling in Control-M.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows