Total 9 Senior Executive research associate job vacancies in Maintenance / Repair category in Singapore

Working under close supervision, sets up, adjusts, and operates a variety of machine tools which may include numerical control/computerized numeric control lathes, mills, drills, computerized numerical control/numerical control and/or manual machines.

May be required to read blueprints, perform varying levels of shop mathematics associated with machining operations, and perform inspection procedures to verify work. Skills typically acquired through 2-6 years related machining experience.

Working under close supervision, sets up, adjusts, and operates a variety of machine tools which may include numerical control/computerized numeric control lathes, mills, drills, computerized numerical control/numerical control and/or manual machines.

May be required to read blueprints, perform varying levels of shop mathematics associated with machining operations, and perform inspection procedures to verify work. Skills typically acquired through 2-6 years related machining experience.

Working under close supervision, sets up, adjusts, and operates a variety of machine tools which may include numerical control/computerized numeric control lathes, mills, drills, computerized numerical control/numerical control and/or manual machines.

May be required to read blueprints, perform varying levels of shop mathematics associated with machining operations, and perform inspection procedures to verify work. Skills typically acquired through 2-6 years related machining experience.

Description

Working under close supervision, sets up, adjusts, and operates a variety of machine tools which may include numerical control/computerized numeric control lathes, mills, drills, computerized numerical control/numerical control and/or manual machines.

Requirement

May be required to read blueprints, perform varying levels of shop mathematics associated with machining operations, and perform inspection procedures to verify work. Skills typically acquired through 2-6 years related machining experience.

Location: Changi, East
12 months contract

Job Description

• Ensuring assigned maintenance activities are carried out in a timely manner.
• Managing internal and external stakeholders like tenants, contractors and colleagues.
• Managing assigned A&A and minor repair works.
• Coming up with and supporting initiatives to improve efficiency and productivity of facilities management operations.
• Develop detailed work specifications, obtain price quotes, assess proposals, and make recommendations for award.
• Carry out site inspections (indoor and outdoor)

Requirements:

• Degree/ Diploma in Estate or Facility Management, Real Estate, Property Development, Engineering or equivalent.
• Class 3 driving license to drive around the site
• Min. 2 years of experience in managing hard and/or soft facilities management activities, contractors and stakeholders will be advantageous.
• Proficient in Microsoft Word, Excel and PowerPoint

Annabelle Quek, ITT Team

Reg No: R21102691 EA: 05C3053

BGC Group Pte Ltd

Role and Responsibilities

Administrative Support:

• Provide administrative support to the Facility, Safety & Security Department.
• Manage and maintain records, documents, and reports.
• Schedule and coordinate meetings, appointments, and events.
• To raise purchase requests for the department.
• To maintain and update of the facility SOP.

Facility Management:

• Ensure smooth operations and proper maintenance of the facility.
• Plan and execute all facility management activities.
• Perform maintenance tasks following the schedule, such as air conditioning servicing and timely temperature calibration.
• Administer, inspect, and monitor all preventive maintenance and ad-hoc repair work.
• Ensure that the pest control program is carried out monthly.
• Conduct regular inspections within the facility to ensure the equipment is functional and maintain a high standard of cleanliness.
• Properly file all service reports and facility-related documents.
• Provide a monthly report on maintenance or ad-hoc jobs performed.

Safety and Security:

• Support the implementation and maintenance of safety protocols.
• Assist in conducting safety drills and training sessions.
• Maintain records of safety incidents and ensure compliance with safety regulations.
• To be part of the response team.

Communication:

• Act as a point of contact for internal and external stakeholders.
• Draft and distribute correspondence, memos, and notices.
• Ensure timely and accurate dissemination of information.

Additional Duties:

• Perform other related duties as assigned.

Requirements

• Diploma or equivalent in Business Administration or a related field.
• Minimum of 2 years of experience in facility management or safety and security.
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).
• Strong organizational and multitasking abilities.
• Excellent verbal and written communication skills.
• Ability to work independently and as part of a team.

For interested candidates, please send your most recent and updated resume to [email protected]

Subject heading: Facilities Admin Associate Executive

Andrea Eunice Tan Min Er
(R23112594)
Recruit Express Pte Ltd
EA License No. 99C4599

The Team:

The DBS Investments and Trading Technologies (ITT) Data Team works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, sales, and operations.

We are seeking a machine learning specialist who thrives in dynamic environments, possesses a strong foundation in data science and a keen interest in leveraging data to drive innovation in the financial markets and banking sector.

Responsibilities:

1. Utilize extensive financial datasets to drive end-to-end data science solutions for algorithmic pricing, experiment design, process optimization, and customer hyper-personalization.
2. Work with quants, traders, and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the adoption of optimal methodologies.
4. Implement and train AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
5. Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

1. Bachelor's degree or higher in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
2. Proficient in the data science project life cycle, demonstrated by a proven track record of working with structured, semi-structured, and unstructured data.
3. Deep understanding and application of various machine learning concepts, their mathematical underpinnings, and trade-offs.
4. Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
5. Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have (Two or more):

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
2. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
3. Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
4. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
5. Experience with machine learning applications in financial markets with a solid understanding of market dynamics, and key drivers.
6. Experience developing reinforcement learning models and frameworks at scale.
7. Strong research background with experience conducting literature reviews and prototyping fit-for-purpose custom models.
8. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

Key Skills: python, algorithms & data structures, machine learning, causal inference, SQL, experimentation, A/B Testing, multi-armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis, RAG, large language models.

Internal Description

Description - Internal

The Team:

The DBS Investments and Trading Technologies (ITT) Data Team works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, sales, and operations.

We are seeking a machine learning specialist who thrives in dynamic environments, possesses a strong foundation in data science and a keen interest in leveraging data to drive innovation in the financial markets and banking sector.

Responsibilities:

1. Utilize extensive financial datasets to drive end-to-end data science solutions for algorithmic pricing, experiment design, process optimization, and customer hyper-personalization.
2. Work with quants, traders, and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the adoption of optimal methodologies.
4. Implement and train AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
5. Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

1. Bachelor's degree or higher in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
2. Proficient in the data science project life cycle, demonstrated by a proven track record of working with structured, semi-structured, and unstructured data.
3. Deep understanding and application of various machine learning concepts, their mathematical underpinnings, and trade-offs.
4. Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
5. Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have (Two or more):

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
2. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
3. Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
4. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
5. Experience with machine learning applications in financial markets with a solid understanding of market dynamics, and key drivers.
6. Experience developing reinforcement learning models and frameworks at scale.
7. Strong research background with experience conducting literature reviews and prototyping fit-for-purpose custom models.
8. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

Key Skills: python, algorithms & data structures, machine learning, causal inference, SQL, experimentation, A/B Testing, multi-armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis, RAG, large language models.

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.), is a Joint Venture between NXP and TSMC. We offer flexible and cost effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

At SSMC, every career journey is unique and rewarding. We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Senior/ Associate Engineer to be part of our Facilities diverse team of talent. You will trouble-shoot and service normalization on systems in charge such as buildings issues, lifts etc.

What you will be working on:

• Trouble-shoot and service normalization on systems in charge such as buildings issues, lifts, plumbing and sanitary, landscaping and housekeeping work
• Perform scheduled preventive maintenance (PM) and system breakdown maintenance (BM)
• Perform 1st line incident handling, breakdown repair works as well as actively participate in incident
• Perform inspection rounds on 6S and supervision of contractor works on building services
• Ensure that all quality expectations are up held to meet better than expected customer request
• Create and innovate new methods for continuous improvement to current Procedures to attain best in class quality and cost
• Participate in Improvement teams to enhance system improvements
• Maintain good housekeeping in all buildings, ensure good safety practice and also safe custody of keys, tools, documentation, equipment and other properties belonging to the company
• Ensure all site safety compliance are met as part of daily responsibility and expectations
• Continuously seek to enhance on existing safety procedures for continuous improvement
• Plan, lead and supervise work carried out by vendors
• Provide leadership in first line of trouble shooting of any process inadequacy

More about you:

• Candidate must possess a Diploma or Advanced/Higher/Graduate Diploma in Engineering (Material Science), Engineering (Mechanical), Engineering (Electrical/Electronic), Engineering (Environmental/Health/Safety), Engineering (Industrial) or equivalent
• At least 2 year(s) of working experience in the related field is required
• Added advantage for candidate(s) with experience working in Large Industrial Complex, Semiconductor environment
• Resourceful and has initiative
• Willing to work on rotating shift

SSMC is committed to equal employment opportunities and abides by the Tripartite Guidelines on Fair Employment Practices (TGFEP). All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

Working under close supervision, sets up, adjusts, and operates a variety of machine tools which may include numerical control/computerized numeric control lathes, mills, drills, computerized numerical control/numerical control and/or manual machines.

May be required to read blueprints, perform varying levels of shop mathematics associated with machining operations, and perform inspection procedures to verify work. Skills typically acquired through 2-6 years related machining experience.