Nityo Infotech Services is looking for a Data Center System Operator (Entry Level). This is a permanent role with Nityo.

Responsibilities:

· 1st main task:
* monitor the health of the Mainframe Computer & Server via a console, which is a large computer monitor
* 3 status light, GREEN, AMBER, RED
* GREEN = everything is running well
* AMBER n RED = Systems displaying some problem
* require to escalate to Level 2 trouble shooting (Systems Administrator; Computer Engineer

· 2nd main task:
* help to do DATA Backup when on night duty, depending on which data centre you are deployed to

· Other ad-hoc tasks:
* print reports/ receipts
* escort Contractors into the data centre

Requirements:
· Min. 'O' Level Pass in Mathematics
· Candidate attending regular academic courses will NOT be considered
· Example of a Typical Shift Pattern (varies with different DCs)
2 rotational shifts: eg. 8.30am - 8.30pm; 8.30pm - 8.30am
*Work 3 days, Rest 2 days; Work 3 nights, Rest 2 days.
· 16 shifts/ 4-weeks. Weekends or PH could be a work day, or off day, depending on the roster
· Expected to cover up to 17 to 18 shifts /4-weeks period.

Working location: Singapore General Hospital

This is the pay structure for our entry level Sys Ops if u r selected, there will be no other allowances/AWS/Bonus etc. :
• $2,000 - $2,144 (incl. of shift allowance);

• 1-day salary /PUBLIC HOLIDAY (applies for both shifts or rest days)

about the company

Our client, one of the reputable life reinsurance company globally.

about the job

In this position as an Data Management Analyst, you will be responsible for managing data and Statement of Accounts received from Insurance Clients. You will be involved in the end to end validation of the data, recording of SOA information into the system, cross checking of data and be the key client contact to manage and resolve data issues, as well as providing accurate and timely information for internal and external reporting purposes.

The ideal incumbent will be involved in reviewing of policy and claims data received from clients to ensure adherence to treaty limits and conditions and ensure all details such as premium charged, commission rate are correct before confirming the SOAs with clients.

skills and experience required

• 2+ years of experience in policy processing/operation department and strong in data management
• Candidates in life insurance, general insurance or reinsurance experience are welcome to apply
• Strong capability in MS Excel or data management, Vlookup or SQL is essential
• Ability to communicate well with internal stakeholders and external customers at all levels
• Strong team player with good analytical skills and attention to details
• Motivated to take ownership of work and to seek further responsibility

If the above position interest you, kindly click on the ‘apply now’.

EA: 94C3609/R132534

Applicants must be fully vaccinated or have a valid exemption in accordance with MOM’s regulations to allow them to enter the workplace. Applicants may be required to share verifiable COVID-19 vaccination documents or proof of a valid exemption at the point of offer. Randstad Pte. Limited and/or the Client reserves the right to withdraw an offer if the applicant fails to provide verifiable COVID-19 vaccination and/or proof of exemption documents.

Key Highlight:

• Great Exposure to the government sector
• Nearest MRT: Labrador Park
• Contract Duration: 11 months
• Salary: Up to $3,450 per month
• Working Hours: Monday – Friday (Office hours)

Key Responsibilities:

• Assist in researching and identifying sources of data, as well as support in external engagements with content providers.
• Support the data team in identification of data, tracking and coordination with content providers.
• Assisting the team with external partnerships (e.g. slides, minutes writing) and conducting desktop research for data collection.

Key Requirements:

• Only Singaporeans
• Minimum qualification: Degree in any related field
• Experience/knowledge or training in computer science and artificial intelligence will be a bonus

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team
BGC Group Pte Ltd
Registration No.: R23117645
EA License Number: 05C3053

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Key Highlight:

• Great Exposure to the government sector
• Nearest MRT: HarbourFront
• Contract Duration: 6 + 6 extendable months
• Salary: Up to $2,400 per month
• Working Hours: Monday – Friday (Office hours)

Key Responsibilities:

• Manage internal and external stakeholder liaisons, managing public enquiry mailboxes and mass-dissemination of official documents to relevant stakeholders.
• Manage the logistics and organisation of key engagements with stakeholders such as healthcare providers and members of the public
• Support the team to perform simple quantitative and qualitative analysis of data.
• Support the team to update the division’s website(s) to ensure information is up-to-date
• Support the team to design communication materials (e.g. infographics);
• Any other administrative work as assigned.

Key Requirements:

• Only Singaporeans
• Minimum qualification: Diploma in any related field
• Knowledge of pivot table will be an added advantage

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team
BGC Group Pte Ltd
Registration No.: R23117645
EA License Number: 05C3053

MAIN FUNCTIONS
Responsible for importing, cleansing, validating and analyzing data with the purpose of understanding or drawing conclusions from the data. May consolidate and/or present data in charts, graphs, or tables. Focused on improving data quality. Position will receive direction and support.
This position level would typically include junior Data Analyst performing mostly tasks that do not require prior extensive experience.

SKILLS AND QUALIFICATIONS
Strong analytical, verbal and written communication skills. Report generation and data analysis. Proficient in MS Office.

Project to transition complex database from Access to SharePoint/Power BI.

Contract Duration - 3 months. Highly extended.

About us

Dyson is on a journey to become a leader in the use and application of data and analytics. The use of connected data is at the forefront of ground-breaking engineering innovation at Dyson, and we aim to build on this and drive better use of data science and advanced analytics across the global enterprise and information systems.

As a Senior Data Product Owner, you will play a key role in a strategic digital transformation initiative which will drive data and analytics transparency and seamless integration across strategic domains. The programme will define the strategy, approach, and processes by which the organisation acquires, stores, curates, manages, and analyses data, setting standards for data and analytics quality and security. Working within the Digital Transformation team, you will help to shape the way we use our data and analytics globally, foster an evidence-driven culture of decision-making, and develop the capability for outstanding use and application of data and analytics at Dyson.

About the role

• Contribute to a high-performing digital transformation team that supports the Connected objectives.
• Build and enhance models/platforms ahead of the business demand.
• Facilitate data conversations & requirements between stakeholders and consumers of our data - including executives, engineers, analysts, product team & Dyson data consumers.
• Identify gaps in data user requirements & ensuring that these are assessed and managed in a timely manner.
• Responsible for enhancing the quality of evidence-driven insight from the Connected data. This will include developments to support go to market strategies, new product launches and general health of our owner base within the categories and support data driven acquisition strategies.
• Support the adoption of the services built and delivered for the stakeholders (RDD, NPI, Markets, Channels) and that they get used by these groups.
• Responsible for the data governance, working with Privacy and Legal to get the appropriate PIA/LIAs before any data sets are combined/activated.

About you

• Minimally 4 years of experience in data analytics, business intelligence, or software development.
• At least 1 year of experience in large data transformation programmes.
• Interest in and/or experience with data/analytics related technologies (e.g. SQL, Python, R, Google Cloud Platform, AWS).
• Working knowledge of data architecture and data engineering within a SAFe framework and using Agile methodology.
• Experience of creating and implementing a data strategy and data product roadmaps with the natural tendency to think 'Data impact'.
• Working knowledge of key tools - including Confluence / Jira / Stash / Bitbucket / GitHub.
• Good commercial awareness and working knowledge of the objectives of different business functions within a large organisation.
• Excellent interpersonal communication skills with the ability to influence others (technical/non-technical).
• Comfortable with, and resilience to, a high change environment.
• Aptitude for project planning and execution, from initiation to completion.

Benefits

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

As a pivotal member of our data division, the Data Program Management Lead will be instrumental in driving the success of our data projects and programs. With a dual focus on strategy and execution, this role is ideal for a dynamic leader who excels in orchestrating complex data initiatives and fostering collaboration across departments.

Major Responsibilities

· Assist the Head of Data in setting strategic program and project objectives and ensure they align with the overall data vision of the organization.

· Coordinate multiple data projects simultaneously, ensuring timelines are met and stakeholders are informed.

· Act as a key point of contact in stakeholder management, facilitating effective communication between technical and non-technical parties.

· Collaborate with product owners and senior business leaders to understand project requirements and relay those to relevant teams.

· Ensure efficient allocation of resources across projects.

· Track program and project performance against Key Performance Indicators (KPIs) to analyze the successful completion of short and long-term goals.

· Develop and manage program and project budgets.

· Serve as a central point of contact for project status, issues, escalations, and risk mitigation strategies.

· Work to improve existing processes and create new ones that will enhance team efficiency and effectiveness.

· Ensure all projects under the program are of high quality, delivered on time, and within budget.

· Mentor and guide team members, fostering a culture of continuous learning and improvement.

· Oversee vendor relations and third-party services.

Qualifications, Skills and Experience

· Bachelor’s or Master’s degree in Data Science, Computer Science, or related field preferred.

· Minimum of 5 years of extensive experience in data-related roles with a good understanding of data technologies such as SQL, Big Data platforms, and Cloud Services.

· Proven experience in program and project management, ideally within data-driven environments.

· Strong organizational skills, with the ability to manage multiple projects and tasks simultaneously.

· Experience with program management methodologies and techniques like PRINCE2, PMP, and Agile.

· Excellent communication and interpersonal skills, with the ability to liaise with stakeholders at all levels.

· Ability to think critically and strategically, foreseeing potential challenges and devising solutions proactively.

· Demonstrated ability to lead teams and drive projects to completion.

If you are interested to apply for this role, please submit your application at this link: https://boards.eu.greenhouse.io/rightship/jobs/4225577101

We look forward to hearing from you!

Job Description:

• To work with sophisticated audience comprised of surgeons and healthcare professionals.

• To communicate with customer accounts regarding a variety of topics, including product updates, changes to product portfolio, and educational programs

• To Identify the needs of new prospects and develop appropriate responses

• To Cross-sell additional products or manage new product introductions as they become available

• To work with the sales team by receiving coaching, training or mentoring; transfer knowledge to peer Sales Representatives and to Sales Associates when needed.

• To Maintain training in product features/benefits, and other critical business applications

• To Collect competitive data and remain current on industry, customer, and competitive trend

• To Participate in professional association meetings outside of regular business hours, as required

Requirements:

• Must possess at least Degree

• Good analytical and questioning skills coupled with ability to develop and implement sales strategies

• Strong in interpersonal, communication and influencing skills

• Able to work independently with minimum supervision

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

You will be supporting Mendaki Club’s (MClub) Secretariat Team, as an intern, and will have opportunities to learn and work in meaningful MClub programmes and/or projects. You will also provide basic assistance in the financial operations for the volunteer-led organization.

You will be expected to work between stipulated time on weekdays but will also be required to work on evenings and over weekends, to support executive committee meetings and programmes (claimable via working hours time-off).

Roles & Responsibilities

• Designing own research to be done based on topic of choice, that would be of benefit to MClub or the MM eco-system in Singapore.
• Supporting Data Team in creating, distributing, collecting, analysing and reporting of data and research for all MClub’s programmes.
• Supporting Data Team in analysing and implementing the best data management system for all MClub’s data and information.
• Supporting Programme Team to execute community programmes, benefitting the MM youths.
• Coordinating the logistical and administrative needs of community programmes.

Learning Objectives & Outcomes

• Learn how to frame and conduct research work that would be of benefit to the target.
• Learn how to articulate research findings in an effective and concise manner.
• Learn how to derive insights through data analysis.
• Learn about programme and event management in the context of volunteer-led initiatives for the MM community.
• Learn about the supporting roles of a Secretariat team in a volunteer-led initiatives for the MM community.
• Learn about MM community issues and efforts towards solving these issues.

Requirements

• Currently pursuing a Diploma and/or waiting to be admitted to a University.
• Able to commit to a minimum internship period of 5 weeks.
• Able to work with a large amount of data meticulously.
• Have some experience in data analysis and data collection.
• Good inter-personal skills.
• Willing to learn and eager to try new things.

Contract: 1 Year

Fully Work in Office Mode

Responsibilities:

• Work closely with stakeholders to understand their requirements.
• Design, develop, and maintain data pipelines and data models.
• Continuous optimization of data pipelines and data models.
• Support operational needs of data pipelines and data models

Summary:

The Data Engineer will work with engineering and business stakeholders to gather requirements before designing, developing, and maintaining purpose-built data pipelines and data models. The ideal candidate will have a strong background in building Extract-Load-Transform (ELT) or Extract-Transform-Load (ETL) data pipelines.

Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• More than 10 years of experience in IT field.
• At least 3 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g.Snowflake, Redshift, Databricks).
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Proficient in SQL and Python.
• Experience in building on data transformation frameworks (e.g. dbt, Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g. Spark).
• Data platform migration

• Manage and Monitor construction works, program and accomplishment
• Oversee coordination between AE and GC (Approval of RFI’s, RFA’s, submittals, drawings, samples and mock-ups)
• Oversee GC design, planning and coordination works
• Oversee GC QA/QC management and implementation
• Oversee GC Safety and Security Department management and implementation
• Attend the CSA and M&E workshops, coordination meeting to ensure that design, technical and site issues are discussed and resolved accordingly.
• Review and recommend Construction Management Plan (Construction Methods, Planning, Coordination, Quality Control/Assurance, Testing and implementation Plan).
• Review and recommend for approval the EHS plan
• Review and monitor the program, site progress and quality of works
• Review the working programs and mitigation process in the event of delays.
• Routine site walks with QA/QC Team to educate that GC and Packaged Contractors Site and QA/QC Team are aware on the Project Requirement and Specification.
• Routine site walks with GC and Packaged Contractors Safety Team to have a Safe Working Environment
• Weekly Audit on the QA/QC documents and COMPASS implementation.
• Weekly Audit on EHS documents.
• Client PM / Lead PM
• Project Management & Cost Management Team
• AE Design Team (Management Team, Engineers, Qualified Persons for Architectural & Structural-QP)
• AE Site Supervision Team (i.e. Resident Engineers-RE & Registered Technical Officers-RTO)
• GC Management Team (Director, Project Manager, M&E and Construction Managers)
• GC QA/QC, Planning, Contracts, M&E and Construction Teams
• GC Planning, Scheduling and Coordination Team (Managers, Engineers, Planners, Schedulers, Coordinators)
• GC EHS Team (Safety Manager, Safety Officer, Safety Supervisors)
• Packaged Contractors Team (Project Managers, Managers, Engineers & Safety Personnel)

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

At American Express we are focused on providing the best customer experience everyday through a differentiated set of products and services. We are looking for a senior researcher and developer at director level in the field of Artificial Intelligence (AI) and Machine Learning (ML) with focus on developing enterprise-grade data science capabilities in natural language processing (NLP) and conversational AI to support emerging use cases on enterprise-wide level, in close partnership with Technology, Marketing, Servicing and Risk organizations.

We are looking for candidates who have strong expertise and in-depth knowledge in NLP, extensive experience conducting innovative research in NLP and unstructured data domain, as well as a proven track record of developing innovative machine learning solutions to deliver exceptional customer experiences and incremental business values.

Responsibilities

• Conduct original research in machine learning and NLP domain with aim to develop enterprise-grade NLP capabilities to solve impactful business problems
• Identify opportunities on enterprise level to transform business processes and practices with innovative NLP capabilities
• Build strong partnership with multiple stakeholders across the Blue Box to revolutionize NLP capabilities for diversified use cases (marketing, risk and servicing)
• Uplift the innovation and cutting-edge R&D in unstructured data modeling, one of the most dynamic and fast-growing area in today’s AI community

Qualifications

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.)
• 7+ years of hands-on experiences in machine learning modeling, NLP and conversational AI
• Strong expertise and knowledge in cutting-edge deep learning research and its application in NLP domain.
• A strong record of delivering machine learning and/or data products including defining business problems, identifying data strategy, building MVPs, and scaling prototypes to production solutions
• Familiarity and proficiency with agile methods and tools to support project management in a timeline sensitive environment
• Team player with strong communication and leadership skills

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

• At least 5 years of experience working as a data engineer or backend developer in a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to createefficient and scalable applications in Java or Python.
• Experience in application integration with Snowflake, Oracle and MS-SQL.
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Familiarity with AWS services will be an added advantage.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good communication and people skills required to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

Skillsets (Good to have)

Brief Job Description

Responsibilities:

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming data sources.
• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.
• Work with members in the team to establish best practice and internal processes to enhance the data pipeline operations.
• Coach junior team members through architecture design review and code review.

Summary:

involved in the implementation of project in Snowflake and setting up of portfolio entitlement.

Job Description:

You will process violation reports for offences administered by LTA and involved in handling the operations of a system printer, for the bulk printing of offence notices and letters. You will need to perform data entry, segregation of offence notices/letters and distribute to the respective parties.

Requirements such as qualifications, soft skills etc:

• GCE ‘O’ level or NITEC (Service Skills, Office) / Higher NITEC (Business Studies, Administration) Certificate
• Proficient in MS Office applications, especially in MS Excel & Word
• Good office operations, coordination skillset and able to work independently and as a team
• Pleasant personality with good communication and interpersonal skills
• On-the-job training will be given on usage of internal systems

• Able to work both day (8am – 8pm) and night shift (8pm – 8am) hours on weekdays and on weekends

Office Location:

Land Transport Authority, 10 Sin Ming Drive, Singapore 575701

Working Schedule:

12 hours rotating shift work – shift pattern would be day shift, followed by night shift, followed by night shift, followed by Off day, followed by Off day

Contract Duration:

1 year

Rates:

Salary of $1,500 per month excluding shift allowances of $5 to $25 for the day shift and $35 to $45 for the night shift

About us

Dyson is on a journey to become a leader in the use and application of data and analytics. The use of connected data is at the forefront of ground-breaking engineering innovation at Dyson, and we aim to build on this and drive better use of data science and advanced analytics across the global enterprise and information systems. This role will be fundamental in helping us deliver on this vision.

You will play a key role in an enterprise-wide strategic digital transformation initiative which will drive data and analytics transparency and seamless integration across strategic domains. The programme will define the strategy, approach, and processes by which the organisation acquires, stores, curates, manages, and analyses data, setting standards for data and analytics quality and security.  Working within the programme team, you will participate in an evidence-driven culture of decision-making and demonstrate outstanding use of data and analytics at Dyson.

To get maximum benefit from our data, a critical part of the role will involve building meaningful relations and partnerships across global markets and functions. In this role, you will work together with existing functions and teams working on data and analytics, contribute to an ambitious and inclusive data and analytics transformation strategy, and participate in driving benefit across the organisation.

About the role

This exciting role will allow you to bring your extensive Data Science expertise into a fascinating problem space – as we create innovative data products to drive enhancements to the owner experience through our app and machines.

The Associate Principal Data Scientist will provide technical and strategic leadership and solution design across the Global Connectivity Data team, and beyond. The role involves hands-on management and implementation of multiple Data Science projects and contributing to overall strategy across wider initiatives and programmes. You will be key in developing, recruiting, and mentoring our Data Science talent.

You will work closely with Data Scientists, Data Product Managers, Data Product Owners and MLOps Engineers – evolving and improving our Connected Intelligence Platform, Connected Control Tower, our Data Science toolset, and the data products that we create.

In this role, you will:

• Be a subject matter expert in ML and Data Science, with an emphasis on A/B experiment design and measurement, forecasting, segmentation, recommender systems and statistical rigour.
• Lead end-to-end projects in Data Science and Data Engineering. You will play a key strategic role in the evolution of the Data roadmap and contribute to a broad range of initiatives and programmes.
• Provide technical leadership and be a role-model who contributes to the development of standards, improving processes, leading rigorous code reviews, and developing Data Scientists and ML Engineers. You will be an expert in automating manual processes and spotting opportunities to increase efficiency and scale existing solutions.
• Need to communicate concisely with Product Owners and senior stakeholders to drive engagement in new opportunities for Dyson. Evolve and manage our capability to provide concise executive-level reporting and be accountable for the quality of analysis provided. Maintain awareness of industry trends in Data Science and bring these back to the team to inform our decisions. Contribute to recruitment and help grow a truly global Data team.

About you

• ​Strong leadership skills and consensus-building ability.
• Proven track record in Python development in both Data Science and Software Engineering contexts, with the ability and desire to upskill and coach team members in concepts such as
  - APIs and services
  - Unit-testing
  - OOP
  - Commonly used packages such as statsmodels, scikit-learn, tensorflow
  - Expert-level SQL (BigQuery or Redshift an advantage)
  - Cloud experience (GCP or AWS an advantage)
  - Building and supporting automated analytics solutions in production environments
  - Building and leading the delivery of real-world predictive models within a business environment
  - Strong knowledge and practical experience in Statistics
• Proven experience in handling complex statistical modeling and analyses, demonstrated through roles in diverse environments like research, academia, consultancy, or ecology.
• Enjoy driving business value through Data Science and measuring progress against KPIs.
  Ability to prioritise and manage a busy workload, leading on multiple projects simultaneously.
  Experience in line management of Data Scientists
• Communicate and present concisely to the senior leadership team
• Ability to tell a story using data with expertise in visualisation tools e.g. Tableau, Looker

Benefits

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

#LI-DYSON

#LI-SL

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Essential Job Duties
▪ Manage customer complaints, corrective and preventive action programs.
▪ Work closely with customers, production and suppliers to meet the quality
requirements.
▪ Review / prepare, administer and implement Quality Assurance Plans, Inspection
Test Plans and other Operational procedures in accordance to the technical
specifications, customer's surveillance requirements, and good manufacturing /
engineering practices, and enforce the same on Operations in their execution.
▪ Work closely among inter-department to ensure committed schedules are met in
a timely and effectively manner.
▪ Responsible for product quality management, implement quality plans, drive
quality improvement projects and prepare quality report to identify problem areas
and work on problem resolutions

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Job Responsibilities:

· To execute activities for the recruitment of special population groups

· To develop recruitment strategies to recruit specific patient groups in line with company priorities and objectives.

· To work with Recruitment Team Leader to coordinate publicity and recruitment exercise focusing on special population group.

· To initiate recruitment drives collaborating with external parties to expand the pool of special population.

· To provide inputs into the development of study-specific patient recruitment plan.

· To reach out and work closely with external collaborators to drive patient recruitment initiatives.

Requirements:

• Diploma or Degree in Business / Marketing / Arts / Sciences
• No experience required as on-job-training will be provided
• High energy, team player and people oriented

Jessie Hoe Huey Miin

CEI R1103861

EA: 99C4599

At a glance

Are you an entrepreneurial thinker, creative problem solver and like to drive things forward? Your talent as a networker makes it easy for you to work with many different types of people? At Infineon we have the size, the competence and the faith in innovation to shape the power semiconductor industry. Seize the chance to come on board and become part of our success story!

Job description

In your new role you will:

• Work as a technical expert in the fields of primarily on Natural Language Processing (NLP) / Large Language Models (LLMS), Artificial Intelligence/ Machine Learning (AI/ML) and present research findings to stakeholders internally and externally.
• Prove concepts, prototypes and implementations, mainly pertaining to the solutions and services in Business Analytics focusing on NLP
• Creating & developing NLP applications handling large corpus of data
• Working with data scientists and domain experts to design the AI workflow and deployment.
• Transform the prototypes into production with best practices (e.g.model development, model deployment, model management & monitoring).
• Maintaining, monitoring, optimizing the full life cycle of machine learning models in production (e.g. model results, performance, benchmarking).
• End to End operation support for AI solutions (Data Engineering &Modelling & Visualization)
• Establish, implement and maintain best practices and principles of machine learning engineering.

Your Profile

You are best equipped for this task if you have:

• Masters or Bachelors Degree in Computer Science/Mathematics/Statistics or equivalent.
• Relevant work experience for at least 3 years in NLP/AIML
• Strong understanding, conceptualizing & hands-on Work Experience in the field of LLM/Generative AI, Chatbots & NLP based applications
• Hands-on working experience in Classical Machine Learning, ComputerVision
• Extensive experience in Software Engineering & Development cycles(CI/CD) with proficiency in scripting languages & frameworks e.g.Python, TensorFlow, PyTorch, Sklearn.
• Familiar with microservice and/or big data technologies, e.g.OpenShift, Cloudera (CDH) & Experience in SQL and NoSQL Databases
• Working experience in cloud technologies such as Microsoft Azure platform
• Understanding of web development technologies like HTML, CSS, and javascript frameworks
• Knowledge in Self Service Analytics Platform i.e. Dataiku preferred
• Intuitive & Curious data wizard mindset with high ‘figure-it-out' quotient
• Highly motivated, structured and methodical with high degree of self-initiative
• Team player with good cross-cultural skills to work in international team
• Customer and Result orientated

Benefits

What we offer you in Singapore

Singapore is our regional headquarter for Asia-Pacific and consists of production, research & development, sales & marketing, supply chain and many central functions.

Find out more about our location Singapore

Why Us

Driving decarbonization and digitalization. Together.

Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors. Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software.

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

Main Purpose of the Job:
The Parts Advisor (Parts Counter) sells parts over the counter and answer enquiries from
customers. He/she assists customers in selecting required parts in a friendly professional and
efficient manner via the electronic parts catalog. Guaranteeing customer satisfaction and loyalty
are top priorities. He/she is the main contact person to the technician in material request. He/she
reports to the Asst Parts Manager / Parts Manager.

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Collaborate with Model Development team and relevant stakeholders to support the development of climate physical risk models
• Undertake pre-processing and analysis of structured and unstructured data, validating the integrity of data to be used, propose solutions and strategies to tackle challenges if any, and support data visualization
• Research on the latest climate risk industry best practices, literature, data and framework, contribute to continuous improvement in climate risk models, and solving complex problems using a data-driven approach
• Support the execution of climate scenario analysis, ESG risk assessment processes and associated climate-related external disclosures

Requirements:

• Functional / Technical Competencies:
• Proficient in SQL, Python and other advance analytical languages/tools
• Proficient in BI tools (Qlikview, QlikSense, Tableau)
• Excellent qualitative and quantitative research and analysis skills
• Strong in using MS Office applications such as Microsoft Excel and Powerpoint
• Analytical and creative problem solver, effective communicator and strong team player
• Knowledge or experience in banking sector or risk management is a plus
• University graduate or above with major in a quantitative discipline
• Minimum 2 years of relevant experience in areas described above

Interested candidates kindly submit your latest CV in a Word Format to: [email protected]. Only shortlisted candidates will be notify. Thank you.

Project Engineer

• Working Days: 5 Days
• Working Hours: 9am - 6pm
• Salary: $3000 - $4000 + Commission
• Location:Lor Bakar Batu [Office] // Island-wide [Site]

Requirements:

• Degree/Diploma in Mechanical or Electrical Engineering or equivalent.
• Minimum 2 - 3 years experiences in similar role or in engineering industry.
• Experience and work in data centre environment with mechanical and electrical field / engineering & building services industry will be a plus.
• Knowledge in Microsoft Visio / Project, Revit and Auto-Cad
• Read architectural, structural, mechanical and electrical blueprints and have a solid understanding of building services such as electrical, fire, and mechanical system.
• Understanding of enterprise infrastructure control systems and network communications technology – Internet, Intranet, VPN, TCP/IP, Ethernet, etc. will be a plus

Jobs Scope:

• Develops project objectives by reviewing project proposals and plans; conferring with management
• Determines project responsibilities by identifying project phases and elements; assigning personnel to phases and elements; reviewing offers from contractors
• Determines project specifications by studying product design, customer requirements, and performance standards; completing technical studies; preparing works estimates
• Confirms product performance by designing and conducting tests
• Determines project schedule by studying project plan and specifications; calculating time requirements; sequencing project elements
• Maintains project schedule by monitoring project progress; coordinating activities; resolving problems
• Controls project plan by reviewing design, specifications, and plan and schedule changes; recommending actions
• Controls project costs by approving expenditures; administering contractor contracts
• Prepares project status reports by collecting, analysing, and summarizing information and trends; recommending actions
• Maintains safe and clean working environment by enforcing procedures, rules, and regulations
• Maintains product and company reputation by complying with regulations
• Maintains and controlling of paperwork and submittals for approval requirements
• Contributes to team effort by accomplishing related results as needed
• Travel to project sites to witness start-up, integration, and training session
• Assist in preparation of tender or pre-sales work whenever necessary

Lee Wan Ling | Reg No: R23116154

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

• Supervision of the operation, maintenance and repair of all Critical Environment (CE) systems while maintaining 100% uptime to all critical power systems
• Adherence to all quality, health & safety, and environmental policies within the CE domain
• Coordinate ongoing maintenance and CE activities within the Data Centres.
• Fully conversant with the Emergency Response Plan, CE EOPs, and act as the FOC liaison with the SOC during site emergencies
• Ensure that the FOC is always monitored and manned and EPMS, BMS, and Fire System alarms are responded to in a timely manner
• Complete scheduled PMs and ensure all other CE Technicians carry out their scheduled PMs in a timely manner
• Complete a minimum of 1 drill per month with at least one drill involving the CE Day team and/or Security team
• Be fully familiar with site escalation procedures and the Abnormal Incident Reporting (AIR) process
• Other duties may be assigned

Desired skills and qualifications

• Technical Certificate or Diploma in Mechanical/Electrical Engineering or other relevant field
• At least 2 years of experience in a critical environment preferably data centres
• Candidates must have an excellent understanding and experience of the electrical and mechanical systems used in a data centre environment
• Strong oral and written communication skills, with the ability to communicate intelligently and effectively with the clients and contractors
• Must be comfortable to work shift and to provide emergency cover as required