• As the maintenance gatekeeper responsible for assessing the notifications that are mainly prepared by production with reference to plant and process safety, environmental protection, reliability of the plant, cost effectiveness and optimization of the process and transforming approved notifications into work orders in SAP
• Check the work performed by Maintenance contractor are up to specification
• Responsible for maintenance of master documents and update of plant documentation to company standards
• Responsible for plant turnarounds activities
• Support overall continuous improvement process and preparing recommendations for alternative equipment or improved plant design
• Contributes to maintain and administer facility quality, safety and environmental programs/processes, including non-conformance action items and MOC processes
• Maintaining and optimizing all maintenance plans that include preventive measures, inspections and all other routine works
• Cost Analysis and report preparation for maintenance and optimized effectiveness

REQUIREMENTS

• Candidate must possess at least a Bachelor's Degree, Professional Degree, Master's Degree, Engineering (Chemical), Engineering (Mechanical) or equivalent.
• At least 1 year(s) of working experience in the related field is required for this position.
• Preferably Junior Executives specializing in Maintenance/Repair (Facilities & Machinery), Engineering - Chemical or equivalent.
• Good understanding of chemical or mechanical process equipment
• Good communication skills to foster team work and know-how exchange
• Applicants must be willing to work in Jurong Island.
• Singaporeans or those who doesn't require any work pass.

Jessie Hoe Huey Miin

CEI R1103861

Ea: 99C4599

Duties & Responsibilities:

• Design, develop and verify new products to meet product and process development requirements.
• Ownership of analog circuits used in SerDes, including evaluation of different circuit topologies for specific product requirements (e.g., Rx, CDR, Tx, bias generator, clock generation and distribution, etc.).
• Get along with multi-functional teams to define requirements/specs (e.g., modeling, package, board, DFT, ESD, etc.).
• Provide technical support to manufacturing during pilot, runs/tests.
• Craft block-level specifications based on link-budget, behavioral modeling, and transistor-level feasi-bility.
• Work closely with mask design to implement layout view of designs.
• Hold design reviews of blocks with peers/management to show design meets spec targets and re-quirements.
• Participate in projects and other adhoc duties assigned

Skills / Qualifications:

• Master or PhD in Electrical Engineering.
• Deep knowledge in high-speed SerDes protocols (e.g., PCIe, USB, SATA, etc.).
• Strong knowledge of analog CMOS designs and topologies.
• Deep experience with Tx & Rx equalization techniques and circuits.
• Deep experience in analyzing link jitter budget for high-speedserial links and creating block level re-quirements.
• Strong knowledge of different CDR architectures.
• Experience in lab testing of high-speed serial links and defining equipment needs.

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

Industry: Chemicals

Function: Maintenance

• Leadership: Lead and manage a team of mechanical supervisors and contractors to ensure efficient execution of plant maintenance, modification, and construction activities. Foster a culture of safety, quality, and productivity within the team.
• Coordination: Collaborate closely with plant operators and other maintenance groups to schedule and execute maintenance and modification works, prioritizing safety and minimizing disruption to plant operations.
• Technical Expertise: Conduct mechanical studies and analyses to optimize plant facilities according to technical specifications and business requirements. Identify opportunities for improvement and implement effective solutions.
• Troubleshooting: Perform in-depth technical investigations on equipment issues, evaluate findings, and develop actionable recommendations to prevent recurrence and improve reliability.
• Training and Development: Develop and deliver training programs for staff and contractors to enhance their skills and competencies, ensuring they are equipped to perform their roles effectively and safely.
• Emergency Response: Respond promptly to plant emergency calls and troubleshoot mechanical issues within tight timelines, demonstrating quick thinking and effective problem-solving abilities.
• Compliance: Implement and maintain management systems in accordance with ISO 9001, ISO 14001, ISO 45001, and SS651 standards, ensuring adherence to regulatory requirements and best practices in maintenance management.

• Degree in Mechanical Engineering with at least 2 years’ relevant experience in mechanical facilities maintenance in oil/ petrochemical/ power industry
• Hands on experience in performing troubleshooting and repair work of static equipment and rotating equipment (e.g. heat exchangers, pressure vessels, agitators, pumps, compressors, and blowers)
• Ability to communicate effectively with staff across different functions and contractors, fostering a collaborative environment conducive to teamwork and knowledge sharing
• Proficient in Microsoft Office applications
• Basic knowledge of SAP applications is advantageous

As a Power BI Engineer with visualization experience, you will be responsible for designing, developing, and maintaining business intelligence solutions using Power BI. You will work closely with various stakeholders to understand their data needs, create interactive and visually appealing dashboards, and ensure the effective use of data to drive business decisions.

• Proven experience as a Power BI Developer or in a similar role.
• Strong experience in data visualization, with a portfolio of previous Power BI projects.
• Proficiency in DAX (Data Analysis Expressions) and M (Power Query Formula Language).
• Solid understanding of data warehousing concepts and SQL.
• Excellent analytical and problem-solving skills.
• Detail-oriented with a strong focus on quality and accuracy.

Preferred Skills:

• Experience with other data visualization tools such as Tableau or Qlik.
• Knowledge of Azure Data Services, including Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics.
• Understanding of data governance and data security practices.
• Familiarity with Agile methodologies and experience working in an Agile environment.

Singapore AI-Hub at TE is developing various applications/tools to support integration of AI in product development process. We are on an exciting journey to build and scale AI-Hub team. TE is looking for a Staff Machine Learning (ML/LLM ) Ops Engineer with experience in defining, building, productionizing, and operating ML/LLM workloads. This role is expected to provide thought leadership around architectural best practices by leveraging experience and current industry trends.
.
As a Staff Machine Learning (ML/LLM) Ops Engineer, you will be working with data scientists to deploy data science models to our cloud platform using ML and AWS technologies such as SageMaker. Along-with model training and deployment in a production environment, you will also be responsible to orchestrate all the other processes like data cleaning, preprocessing, data management, auditing, logging, monitoring, security, etc.

You will use your expertise to provide recommendations around security, cost, performance, reliability, and operational efficiency to accelerate projects.

The ideal candidate is passionate about data science and stays abreast with the latest developments in the field. You will mature our machine learning engineering processes that are implemented by a toolchain and build around DevOps practices to orchestrate components of ML lifecycle.

Job Responsibilities:

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Deploy and maintain machine learning models within scalable web applications, ensuring high availability and low latency.
• Implement comprehensive logging, monitoring, and alert systems to detect and address model degradation, data drift, and anomalies in production.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Job Requirements:

• B.S or Master’s in computer science, AI with 12+ years equivalent experience
• 5+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads Productionization.
• 10+ years of experience in software development/ devop’s role
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS Code Build & Code Pipeline, Jenkins, AWS CloudFormation, and others
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Strong proficiency with containerization and orchestration technologies (Docker, Kubernetes, etc.).
• Strong programming skillset with high proficiency in Python, R, etc.
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Knowledge of LLM ops is preferable and or should be willing to learn quickly
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

We Value

• Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
• Time management skills - Ability to manage multiple projects and designs at once with changing requirements during the intake process
• Experience working in an Agile environment
• Ability to work in a fast paced, resource constrained environment to deliver value to business.
• Certification in LLM ops or ML ops is preferred

Inside Sales Engineering.

· Review customer RFQ applications/specifications and prepare technical proposals/responses.

· To generate quotations for all divisional products in response to customer RFQ’s.

· Maintaining accurate records of all quotation and contractual information.

· Entering Projects onto RSMS following quotation review and action the sales team as required.

· Review customer purchase orders against sales quotations to ensure that the information is complete, correct, concise and organised.

· Communicate with customers for the jobs associated with projects and bring them up to date as needed.

· Liaise with the operations manager and/or RSS Manager for any factory fit and/or site work needed for jobs related to projects.

· Work with the sales team to gather customer information required in order to complete a contract.

· Liaison with departments such as Purchasing, Production Planning, Engineering, Accounts, and Shipping ensuring fulfillment of the customer requirements.

· Participating in internal and external meetings with customers, inspectors, and expeditors.

· Assist with processing of sales order and other purchase order from time to time due to overload and staff absences.

· Co-operate with their manager to identify and implement best practices throughout the Company.

· Training other employees as needed from time to time.

· As required working within a project sales team to provide a coordinated effort to ensure the Rotork outcome.

· Perform other duties as assigned.

• Main support towards on-going projects related to marketing automotive services in the Asia-pacific region
• Market research of automotive trends and technology to form a strategy of product services offerings for Asia-pacific region
• Benchmark existing services programs and methodologies and propose recommended improvements to identify growth areas
• Support in the definition of online training strategies and development of training modules for China, Australia and ASEAN
• Monitor and evaluate training and helpdesk program’s effectiveness, success and ROI periodically and report on them
• Handles regional reporting for Technical Services Portfolio

Job Scope:

· Execute the entire selling process of identifying customers through sales leads, referrals, cold calls, etc., and creating demand and capturing orders by building relationships and formulating product solutions and specifications based on customers’ needs so as to ensure the meeting of sales quota and contribution towards sales revenue.

· Prepare quotations and tenders, negotiate terms and check all commercial terms of offer and order of acceptance so as to ensure compliance with Levels of Authority and other relevant MIS policies.

· Develop and/or enhance product presentation materials and participate in sales meetings with customers to do sales pitch, assess and address customers’ needs so as to provide feasible technical solutions and close sales deal in a professional manner.

· Participate in marketing research, planning and sales forecasting so as to ensure targeted market and potential customer bases are fully tapped in order to generate a steady stream of revenue to meet and maintain profitability level. This includes maintaining an up-to-date record of competitors' products, market activities, industry trends, customers' buying trends and sharing of best practices, etc during sales meetings/discussions, etc.

· Ensure accurate and timely completion of Project Specification Sheets (PSS) for each sales order in order to facilitate proper and effective kick-off handover to Project Department in a clear and timely manner. This includes arranging coordination meetings between the customers and the responsible Project Engineer(s).

· Complete data and information in the Project Management and ProlSO database to ensure project details are constantly updated and readily available for follow up and viewing by all relevant parties involved in the project.

· Actively use the Customer Relationship Management (C4C) tool in monitoring, analysing and communicating monthly sales data in daily work to manage personal targets and contribute to product and service planning.

· Monitor the debtors' list periodically and coordinate with Finance Department to ensure timely invoicing and follow up with customers on all overdue accounts (whenever required) so that overdue debts can be promptly collected and settled.

· Establish and maintain long-term customer satisfaction by way of periodic visits to customers to monitor performance of delivered products and services.

· Participate with a representative from Project and/or Service Department to ensure that handover of projects to customers are proper and complete so that all outstanding issues (if any) are fully resolved during the handover.

Requirements:

• Min Diploma in Mechanical/electrical engineering or equivalent
• Preferably with experience in industrial equipment, heavy machinery , construction equipment etc

Angela Teh Ling Wei (CEI No.R1104464)

Contact Number:67860100

Email Address:[email protected]

Recruit Express Pte Ltd / EA Licence No: 99C4599

We regret only shortlisted candidates will be contacted

About Sleek

Sleek is on a mission to revolutionize how entrepreneurs operate their business. We want to give small business owners peace of mind and the power of online solutions to allow them to focus on what they do best - growing their business. As we work for our thousands of customers, we gather millions of data points about their business, and in turn we transform those into useful, actionable insights and recommendations to accelerate their growth through smart algorithms. 

We are a team of 440 builders from 18 countries, with offices in Singapore, Philippines, India, Vietnam, Hong Kong, Australia and the UK committed to delivering a delightful experience to our clients!

By submitting a job application, you confirm that you have read and agree to our Data Privacy Statement for Candidates. ​

We're looking for a proactive Senior Fullstack Engineer with a keen business acumen, capable of aligning technical solutions with the company's product and service goals. We're seeking a dynamic individual who not only excels in software development but also possesses a deep understanding of business concepts and can contribute to strategic decision-making. If you're passionate about leveraging technology to drive business success and thrive in a fast-paced startup environment, we want to hear from you!

Position Duties 

• Collaborate with product managers to uncover the secret desires of the stakeholders and translate them into technical wizardry
• Forge and sustain high-grade, scalable, and steadfast software with utmost care and artistry
• Design, develop and implement new features and applications that will astound and delight users
• Work closely with other engineers and stakeholders to ensure that projects are completed with the grace of a swan and the strength of a bear
• Be a master craftsman at code reviews and ensuring code quality and maintainability
• Ensure that the applications are secure, scalable and maintainable, with the same vigilance and care as a watchful protector
• Nurture and cultivate junior engineers through technical guidance and mentorship as you would innocent seedlings
• Constantly elevate the development process by discovering and incorporating the most advanced and visionary methodologies

• Been a Fullstack engineer or similar roles with 8+ years of experience
• Proficiency with VueJS and NodeJS (Typescript)
• Proficiency with MongoDB and creation of indexes using ESR
• Coded microservices that are modular and reusable
• Understand Clean/Hexagonal architecture, SOLID principles, ACID, Idempotency
• Strong advocate for quality; unit test coverage, security bug fixes, proper documentation
• Strong interpersonal skills and ability to communicate with Agile teams
• Knowledge of cloud architecture (AWS, GCP) and when to use serverless/PaaS
• Experience building and deploying microservices to Kubernetes
• Ability to work independently and collaboratively in a team environment
• Always learning!

At Sleek, we work in a fast-paced start-up environment. We have a strong culture built around our five core values: Simplicity, Loyalty, Excellence, Entrepreneurship, Kindness.  As a deliberately multicultural team, our team comprises more than 18 nationalities and spoken languages.

We consider the company’s success to be a result of committed individual and team efforts, and are looking to onboard talented and creative people who want to make a difference. Corporate social responsibility is a passion, and as an equal opportunity employer we aim at making the world a better place.  We are the 1st international incorporation and accounting brand to achieve B Corp certification status, meeting the highest standards of social and environmental impact performance. With a strong commitment to also make Sleek a great place to work, we offer a flexible working environment where we empower every team member to be the best they can be - regardless of race, ethnicity, religion, gender, age or identity.

If you think you would be a good fit for our mission, we look forward to hearing from you!

The Infrastructure Reliability Engineering - Storage Services team provides 2nd level support to manage the day to day operations for Visa Inc’s storage environment. As a Storage Administrator, your primary responsibility will be to support, manage, and implement improvements to Visa’s global storage infrastructure based on ITIL change, incident and problem management process. This involves working with a 1st level and 2nd level global operations team with 24x7 follow-the-sun coverage. You will work closely with other infrastructure and application teams in supporting, managing and implementing improvements to Visa’s global infrastructure. The Infrastructure Reliability Engineering team is centered around hiring and developing diverse talents who are passionate about building and operating best-in-the-breed infrastructure through technology and innovation.

JOB SCOPE 

This is an individual contributor responsible for identifying and resolving issues of advanced complexity. This position is an intermediate professional level and requires sound execution and analytical abilities. This role works independently and receives minimal guidance.

 Responsibilities

• Troubleshoot and resolve complex 1st level storage related problems, coordinate resources where necessary and serve as escalation point to 1st level operational teams 
• Respond to and resolve storage issues within the timeframe of severity level agreements 
• Support all aspects of storage management process assuring requests, implementation, and problems are delivered as required with no impact to the global communications environment 
• Take initiative to proactively discover potential storage impacts 
• Develop solutions that utilize automation through scripting
• Participate in tasks related to change, incident and problem management
• Document, create and maintain operational run-books based from best practice and from knowledge/experience gained from day-to-day operations for continuous operational improvement.
• Deploy and document changes in accordance with problem and change management process
• Participate in managing projects introduced by engineering team assuring full implementation and documentation standards are adhered to. Complete the projects objectives within timelines 
• Communicate to both technical and non-technical audiences, resolution and root cause resulting from the outage or service interruption 
• Perform the most effective approach to restore, recover, or alter configurations, logical or physical, to maintain service integrity 
• Perform weekends shift duties on rotational basis.
• Participate in or lead problem resolution and root-cause analysis 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

As an AI research intern, the candidate will work on developing AI methods, solutions towards robot-based automation for various internal projects. The candidate will assist in

• Development of various AI methods for wear & tear analysis for a given product
• Methods to utilize CAD / 3D data files for wear & tear impact projection over a period of time
• Development of various data pipelines to simulate the wear & tear propagation over a period of time

• Permanent position with various allowances
• 12 hours shift work
• MNC Chemical Manufacturing Company at Jurong Island with transport pickup 

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

Job Description:

• Responsible for assigned vessels' overall technical operations.
• Ensure vessels’ are technically compliance to International Maritime rules and regulations, legislations, oil major requirements.
• Provide technical advice and support to the shipboard team.
• Monitor vessels’ defects and ensure rectifications are carried out timely and effectively.
• Promote safe operations culture onboard vessels.
• Prepare and manage vessels’ dry docking and repair works in accordance with company’s policy and requirements.
• Conduct investigations on incidents and implementation of corrective action and recommendations to prevent recurrence.
• Conduct vessel inspection, internal audit etc as per Company requirement.
• Responsible for procurement of vessels’ spares and consumables and ensure timely delivery to vessels.
• Maintain and update validity of statutory certificates, vessels’ drawings and instructions manuals.
• Monitor vessels’ planned routine maintenance through Planned Maintenance System and manage vessels’ spares inventory for vessels’ safe and efficient operation.
• Assist to evaluate performance of the shipboard team and interview of potential shipboard officers.
• Supervise construction of new built vessels as per agreed design and specifications.

Requirements:

• Marine Engineer with Certificate of Competency (COC) Class 1.
• Tertiary qualification in Maritime Studies, Engineering or equivalent.
• Well versed in International Maritime rules and regulations, legislations and oil major requirements.
• Preferably with working experience as Technical Superintendent in a shipping company.
• Analytical and highly proactive in technical trouble shooting and problem solving.
• Team player, self-motivated and able to work independently with minimum supervision.

If the above job requirements match your profile, please apply with your full resume stating your current & expected remuneration and earliest commencement date.

We regret that only shortlisted candidates will be notified.

• Preparation of design report, calculation, drawings, specification, cost estimation and details/ schedules for projects.  
• Senior technical resource may serve as technical advisor for team. 
• Provides specialized technical input to studies and design for staff's specific area of expertise. 
• Develops study and design procedures to facilitate high quality cost effective work by others. 
• Participates in interdisciplinary review of project deliverables. 
• Develops construction cost estimates and estimates of technical efforts for projects. 
• Uses expertise in all steps of completing discipline component of PS&E package. 
• Performs quality control review of design calculations or drawings. 
• Prepares technical specification sections. 
• Provides input to the development of engineering budget and schedule to meet requirements. 

What you’ll do:

• Undertake design and study of civil infrastructure work of road work, Sewerage, permanent and temporary traffic, drainage and utilities
• Familiar with the latest authorities’ design codes, specifications and requirements as well as submission procedures
• Able to be the design lead communicating and liaise with client and authorities while managing the team members design deliverable of drawings and reports.
• Able to liaise and coordinates with other design discipline/departments as well as managing sub consultants in preparation of drawing and reports for submission
• Able to communicate with clients and approving agencies for purposes of obtaining design information, presenting design intent and options and expediting approvals
• Able to supervise the team and carry out independent review of submission document
• Senior technical resource may serve as technical advisor for team
•  Participates in interdisciplinary review of project deliverables.

What You’ll do:   

• • To lead, manage and prepare design reports, calculation, drawings, specification, cost estimation and details/ schedules for assigned projects.
  • Conduct electrical services site survey
  • Lead in the coordination with other disciplines in preparation of design deliveries
  • Produce and lead electrical design from concept to detail design
  • Assist Professional Engineer in liaison, preparation and follow up of Authority Submission.
  • Work closely with Clients / Architects/ Structural Engineers / Quantity Surveyors, etc.
  • Assist Project Director in up keeping the project ISO quality documentation and records.
  • Senior engineers must be able to lead projects and supervise a team of engineers / technicians.

• The development of a functional and validated technical system, including demonstrators and prototypes.
• Representation of all technical disciplines including System Engineering roles (Requirements Engineer, Product Architect, Product Integrator and Functional Safety Manager).
• Coordination, Monitoring and Control of tasks, inside the technical disciplines (Hardware, Software, Mechanics, Optics and Test), related to the product development.
• Consolidation of the results of the technical disciplines and presentation with the Project Manager.
• Primary contact person for technical problems and questions.
• Overview of the status from all R&D disciplines.
• Responsible for the technical parts during Risk Management activities.

The Data and AI teams at TE are part of the TE Information Solutions (TEIS) Organization and Corporate Technology and are responsible for driving organic growth by leveraging Data and AI. We are on an exciting journey to build and scale our Data and Analytics (D&A) practice.

Job Responsibilities:

• Lead conversations with business or functional teams to understand its processes/tools/data and define/develop appropriate data acquisition methodologies for analytics projects.
• Analyse data requirements, complex source data, data models, and determine the best methods in extracting, transforming, and loading the data into the data staging, warehouse, and other system integration projects.
• Be the key anchor for data extraction, preparation and hosting processes representing the engineering teams. Data expert for engineering datasets used by data scientists working on various use cases.
• Create master data files from disparate data sources by building data pipelines. Develop and test architecture for data extraction.
• Perform functional and stress testing on data models and ETL jobs to ensure that design is optimized for performance, scale, and reusability.
• Develop and deploy ETL job workflow with reliable error/exception handling and rollback.
• Develop and maintain database solutions, optimizing storage and retrieval for high-performance machine learning applications.
• Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with database backups and performance tuning.
• Support the full-stack development team with integration of machine learning models into the web applications.
• Document test cases results and implementation steps.
• Ensure data quality throughout entire ETL process, including audits and feedback loops to sources of truth.
• Create or update technical documentation for transition to support teams.

Job Requirements:

Education/Experience

• B.S/M.S. in Computer Science or Computer Engineering or related field,
• 5+ years of experience building data models on Snowflake, Redshift, HANA, Teradata, Exasol etc
• 5+ years of experience working on any ETL tools and technologies.
• 3+ years of experience working in a cloud environment, AWS preferred.
• 5+ Years of Experience in any programming language (Python, R, Scala, Java)
• Proficiency with modern software development methodologies such as Agile, source control, CI/CD, project management and issue tracking with JIRA
• Basic Knowledge of supervised and/or Unsupervised learning, feature engineering, generative-AI models, model training and deployment is plus but not necessary

We Value

• AWS Cloud Certifications is strongly preferred. Ability to obtain one after joining team is required.
• Experience in working with engineering teams
• Strong interpersonal and communication skills
• Visualization tool experience, especially with Tableau
• Experience in working with data scientists
• Ability to work independently in a fast-paced environment
• Willing to flex daily work schedule to allow for time-zone differences for global team communications.
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.

We are on an exciting journey to build and scale our advanced analytics practice. TE is looking for a Senior Machine Learning (ML) Ops Engineer with experience in defining, building, productionizing, and operating ML workloads. This role is expected to provide thought leadership around architectural best practices by leveraging experience and current industry trends.

As a Senior Machine Learning (ML) Ops Engineer, you will be working with data scientists to deploy data science models to our cloud platform using ML and AWS technologies such as SageMaker. Along-with model training and deployment in a production environment, you will also be responsible to orchestrate all the other processes like data cleaning, preprocessing, data management, auditing, logging, monitoring, security, etc. You will use your expertise to provide recommendations around security, cost, performance, reliability, and operational efficiency to accelerate projects.

The ideal candidate is passionate about data science and stays abreast with the latest developments in the field. You will mature our machine learning engineering processes that are implemented by a toolchain and build around DevOps practices to orchestrate components of ML lifecycle.

Job Responsibilities:

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Deploy and maintain machine learning models within scalable web applications, ensuring high availability and low latency.
• Implement comprehensive logging, monitoring, and alert systems to detect and address model degradation, data drift, and anomalies in production.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Job Requirements:

• B.S or Master’s in computer science, AI with 5+ years equivalent experience
• 5+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads Productionization.
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS Code Build & Code Pipeline, Jenkins, AWS CloudFormation, and others
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Strong proficiency with containerization and orchestration technologies (Docker, Kubernetes, etc.).
• Strong programming skillset with high proficiency in Python, R, etc.
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Knowledge of LLM ops is preferable and or should be willing to learn quickly
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

We Value

• Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
• Time management skills - Ability to manage multiple projects and designs at once with changing requirements during the intake process
• Experience working in an Agile environment
• Ability to work in a fast paced, resource constrained environment to deliver value to business.
• Certification in LLM ops or ML ops is preferred.

Job Responsibilities:

● Design, develop, test, deploy, maintain and improve software applications.

● Improve software quality using Scrum practices such as code review and unit testing.

● Assist PO/BA on user stories refinement.

● Assist QA on test automation and bug fixes.

● Assist DevOps on build and release automation.

● Prepare interface specifications and other architecture documents.

● Adheres to Software Craftsmanship Manifesto.

Job Requirements:

1 - Data Engineering (P2 - Intermediate)

2 - Java Spring (P2 - Intermediate)

3 - English (B2 - Advanced)

Must Have skills:

• Java Web Development
• Spring Boot
• AWS Cloud Services

Good To have skills:

• Java Sping
• Data Engineering

Next Step:

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
• Simply click on 'Apply here' to drop your resume or email at [email protected]
• All shortlisted candidates will be contacted.

Saghana Sithara | Registration Number: R1550224

About Us

LiquidX Studio is a high-conviction, high-touch venture studio focused on building application layer companies within web3.

Pixelmon is One of the largest market-cap NFT collections in the gaming category. We are building out the first truly decentralised IP, first with games but moving to animation and other distribution channels. Innovative tokenomics, including fractionalised IP ownership and royalty sharing model.

We are based in Singapore and Malaysia with many of our team collaborating remotely from countries like New Zealand, Spain, Indonesia, and Brazil. With large backing from our recently raised funding round, we aim to create a unique experience with immersive gameplay and extensive lore that will wow all gamers.

These include, but are not limited to:

1. Building our IP through Non-Fungible Tokens (NFTs) and Fungible Tokens (FTs)
2. Creating engaging and innovative technology products to engage and support our Pixelmon community
3. Developing the web3 integration layer between our upcoming games and NFTs

About the Role

We are looking for a Senior Data & Security Engineer to join our dynamic team. The ideal candidate will assist in implementing and maintaining data security measures across our systems. This role involves working closely with senior engineers to ensure data protection, integrity, and availability.

What You Will Do

• Assist in implementing data security policies and procedures.
• Monitor and analyse security incidents and threats.
• Conduct vulnerability assessments and penetration testing.
• Participate in the development of security solutions and protocols.
• Provide support for data backup and recovery processes.
• Collaborate with other teams to ensure data privacy and compliance.

What You Will Bring

• Bachelor’s or Master’s degree in Information Security, Computer Science, or related field.
• 5+ years of experience in data security roles.
• Expertise in security tools and technologies (SIEM, DLP, IAM).
• Knowledge of regulatory requirements (GDPR, HIPAA, etc.).
• Experience with cloud security (AWS, Azure, GCP).
• Certifications such as CISSP, CISM, or GIAC are a plus.
• Solid understanding of networking concepts (TCP/IP, routing, switching, VPNs)
• Excellent analytical, problem-solving, and communication skills.

Who You Are

1. You thrive in a highly collaborative environment and can own complex projects, taking them from inception to completion.
2. You believe in supporting and guiding fellow and junior engineers through mentorship and coaching positively and encouragingly.
3. You love to learn and pick up new technologies and build production-grade products quickly.
4. You are familiar and comfortable with the fast-paced world of startups.
5. You are logical and able to communicate tradeoffs between technical options.
6. You are open-minded and willing to listen and distil different perspectives.
7. Plus Point: You have a demonstrable interest in crypto and DeFi 
8. Plus Point: You love and are actively gaming

Benefits and Why You’ll Love Working With Us

• We Listen. Your voice, ideas, and suggestions matters to us, as we continuously evolve 
• Our People. You’ll be working with a diverse, multicultural, international, talented, fun, supportive, and innovative people and teams. We are people you can be proud to work with
• On The Edge of Innovation. Working on the latest technological, social and financial trends that is web3 and blockchain
• Flat Organisation. our team is a community, we work together as a team from all levels in true decentralised spirit

TE’s SG Corporate Technology Center is looking for a subject matter expert in Precision Engineering. TE CTCs are chartered to work with the CTO’s and engineering teams in TE Business Units to identify and develop technologies that deliver broad value to TE products and business operations. Leveraging ecosystem partnerships, you’ll be joining a growing team that focuses on collaborative research with corporate partners, research institutes or academics.

We think the ideal candidate possesses deep knowledge in precision methods for fabrication of metal tooling, conductors & shields, as well as molded/extruded polymers and assembly. Experience with microfluidics would be advantageous, but you may expect to expand towards other areas where it makes sense, such as fine-pitch connectors and wireless solutions. He/she should also have demonstrated success in technology development in an industrial or corporate setting, and is experienced (or interested) with work involving technical management to steer the progress of contracted teams.

Job Responsibilities:

• Engage TE BUs to identify technical areas of interest, leading to collaboration activities that include R&D projects, technology landscaping & consultation.
• Deliver innovation outcomes by advancing initial R&D ideas through technology review, propose scope of work & execution plan, partner selection & subsequent project management to achieve pre-defined technical & business objectives.
• Create a body of knowledge for TE in area of SME by embark on broad technology reviews and authoring technology landscaping reports (patent/journal review, thinktank reports and/or conference visits). Launch proof-of-concept projects as appropriate.
• Administer internal project documentation (charter, TE Project), coordinate compliance matters (legal, procurement, finance), & administer external contracts (NDAs, collaboration agreements), budget tracking and technical documentation. Experience or certification with contract law will be advantageous.
• Supports team on publicity through various channels, such as participating at TE events and presentations to senior management.

Job Requirements:

• Ph.D. / Masters in Mechanical Engineering. Specialization in microfabrication or biotechnology could be advantageous.
• 5-8 years work experience leading technical projects involving design, materials and/or process development in an industrial or corporate setting.
• Experience with precision machining, lithography and packaging/assembly technologies used in microfluidics is advantageous. General knowledge in precision mechanical machining methods such as milling, stamping and etching.
• Knowledge of engineering PjM (scope, deliverables mgmt.) and technical tools (e.g. moldflow, FA, RCA)
• Experience scouting technology state-of-art through literature, patent landscapes, or conferences
• Effective in verbal/written forms communication.

Desirable Qualities:

• Goal-driven and comfortable working through partnerships or interfacing role.
• Comfortable to work and technically curious about a broad range of topics, some of which could be unfamiliar.
• Technically grounded, and business-oriented. Enjoys interacting with other subject matter experts and management opinions to advance project interests
• Able to juggle a portfolio of technical projects and report.

Your role

• responsibility for the design and development of cloud native services
• development of single page application frontend for cloud services
• support of DevOps activities
• close collaboration with the IT Business Analyst to shape our product according to the business requirements and UBS standards while you take the lead to drive the software in a performant and high quality direction
• analyzing business requirements to find the most suitable solution
• designing, planning and delivering sustainable solutions using Java and other modern programming languages
• providing technical expertise and recommendations in assessing new software projects and initiatives to support and enhance our existing solutions
• conducting code reviews and test software as needed, along with participating in application architecture and design

Your team

You’ll be joining the Document Creation and Distribution Crew in Singapore(Stream - Client Documents and Records Management). As part of the CDRM stream our vision is to persue a clear digital first strategy while providing high quality and timely output services. Your Pod will be "Document Postprocessing & Dispatch" which is responsible for key functionalities of document preparation for downstream receivers.

We provide an agile working environment with training and exposure to a wide range of the latest technology and development tools. As a Java Software Engineer, you’ll play an important role in ensuring UBS remains compliant to all legal and regulatory requirements.

You will work on Next Generation global solution for DCD Stream which provides Output Management Services in UBS Wealth Management.

Your expertise

• expertise in backend technologies such as Java 11+,Spring Framework ,Boot
• ability to design and implement web services APIs using REST , SOAP , SSE ,WebSocket , schema first specification, integration, and security
• good understanding and solid experience in database technologies: SQL databases (e.g., SQL Server, Postgres)
• having knowledge in NoSQL database is an added advantage
• experience in frontend technology stack .React is added advantage
• understanding of architecture - microservices, event driven, layered, monolithic, design patterns, etc.
• ability to propose, design and document a solution and take ownership
• experience with cloud native solutions and cloud services integration is a plus
• sound DevOps knowledge - IaC, CI/CD , Maven, Gradle, Kubernetes. Experience in Ansible, GitLab, Azure would be a plus

We are seeking a dynamic and experienced technical presales/architect professional eager to pivot into a solution sales role. This individual will play a pivotal role in our sales team, leveraging deep technical expertise to architect, develop, and sell compelling ServiceNow solutions that address complex customer challenges. This role offers the opportunity to directly impact our growth in the ServiceNow domain, shaping the future of digital workflow transformation for our clients.

Responsibilities:

• Solution Evangelism: Act as a key technical advisor and product advocate, articulating technology and product positioning to both business and technical users.
• Customer Engagement: Lead discovery sessions to understand customer challenges and requirements, translating them into effective ServiceNow solutions.
• Solution Architecture: Design and propose innovative solutions leveraging the Now Platform, ensuring alignment with client objectives and business outcomes.
• Collaboration and Leadership: Work closely with the sales, technical, and delivery teams to ensure cohesive and comprehensive solution delivery.
• Sales Strategy: Contribute to sales strategy and drive opportunities from qualification through to close, achieving sales targets.
• Continuous Learning: Stay abreast of ServiceNow platform updates, new features, and industry trends to maintain a competitive edge and provide value to clients.

Job Description:

Conduct cutting-edge research in the field of recommendation & search, natural language processing, computer vision, deep learning & LLM.

Develop AI-enabled products and services with other groups in the company

Collaborate with world-class organizations in academia projects

Skills / Qualifications:

Possess a master or above in computer science, statistics, applied mathematics, or have equivalent research experiences

Demonstrate the ability to generate new ideas and innovate

Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields

Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258