Total 95 Information Technology job vacancies in Maintenance / Repair category in The United States of America

BROAD FUNCTIONS:

• Provide 24x7 IT Services Operation and Infrastructure (Level 1) support.
• Coordinate IT Infrastructure Problem Management and escalation.
• Coordinate with Global team to perform site testing and buyoff.
• Manage site IT Infrastructure hardware and software deployment and configuration.
• Provide technical support to critical users.
• Provide site mobile communication support to corporate and remote users.
• Carry out assigned task to ensure the quality of product, and prevent environmental pollution, workplace incidents, injury, and ill health.
• Participate in related risk assessment activities e.g. BPM, HIRADC, ERA, RA, BIA, BCP

RESPONSIBILITIES :

• First level IT support for MFG (4 Shift) covering all IT areas such as MFG IT hardware and software support, Office/Deskside support, Network/Telecom support, and Data Center operations support.
• Responsible for nightshift/Weekend/PH IT-helpdesk support
• To assist daily IT operations support.
• To assist on network/telecom/server related project/assignment/task.
• Ensure SOX compliance, security control, standardization, documentation, planning and delivery.
• Assist IT engineers on project implementation, assignment, system troubleshooting, testing and maintenance activities.
• Application performance monitoring and feedback on any improvement plan.

• Provide IT first level support for MFG related IT issues.
• Manages security vulnerabilities & security patching for Manufacturing clients.
• Deploy security and other manufacturing related tools.
• Assist IT Services team in IT projects and small group activities.
• Manage site related hardware refreshes and inventories.

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.

Job Description

• · Analyze and maintain plating chemicals within process parameter
• · Maintain records and check that all chemicals are within specifications
• · Maintain records and perform product testing according to specs
• · Responsible for lab inventory and calibration

Job requirements

• Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma, Bachelor's Degree/Post Graduate Diploma/Professional Degree in Engineering (Chemical), Engineering (Material Science)
• · Able to pass annual eye examination

• Minimum 5year experience in tower crane troubleshooting/servicing
• Minimum education : Diploma
• Able to communicate and write in English.
• Chinese language is a plus
• Able to work in the construction site under hot sun
• Not afraid of height
• Preferably can work OT include weekends
• Monthly salary : S$2,200 2,500
• 5.5 days work week
• Mon to Fri (8am to 5pm)
• Sat (8am to 12pm)
• Annual Leave : 12days
• Medical Leave : 14days per years
• Medical reimbursement Workman Compensation Insurance
• Hospitalisation & Surgery Insurance
• Long Service Awards
• Annual Company Dinner
• Company Uniform

No experience require, on job training provided

Monthly salary : S$1,600

5.5 days work week

Mon to Fri (8am to 5pm)

Sat (8am to 12pm)

Annual Leave : 12days

Medical Leave : 14days per years

Medical reimbursement
Workman Compensation Insurance

Hospitalisation & Surgery Insurance

Long Service Awards

Annual Company Dinner

Company Uniform

Our Company is working closely with a Prestigious Public Listed organisation in Singapore. Due to our dynamic expansion in projects, we are looking for Maintenance Engineers to be part of the project team, able to maintain, upgrade and manage our in-house development environment software, server system hardware and networks.

Responsibilities

• Plan and schedule Preventive Maintenance (PM) works, perform Corrective Maintenance (CM) or tests, record all faults reported within specified time.
• Require responds to customer's site in and/or after office hours
• Perform system troubleshooting, training provided.
• Travel to sites (Company vehicle provided)
• Maintain hardware inventory
• Update maintenance procedure and checklist
• Perform other relevant ad-hoc duties as assigned

Requirements

• Responsible, proactive and have the initially to response to fault call upon activated.
• Class 3 license holder will have advantage.
• Diploma/Advance Diploma and degree in IT, Engineering or equivalent
• Prior knowledge with computer hardware and software preferred
• Prior knowledge on basic networking, Windows systems, basic MS office knowledge
• Prior experience in system maintenance (CCTV, UPS, Network System, and Monitoring System using sensors) will have advantage.
• Able to work independently and as a team

Interested applicants, please email your updated resume (in MS Word or PDF) to contact@elecpro.sg indicating availability date, current and expected salary. We regret that only short-listed candidates will be notified.

Job Description

1. Ensure all the works done by day-to-day
2. Day-to-day quality improvements with QA team
3. Perform automation servicing and documentation as per pre-scheduled to individual products
4. Expedite quality correction time to shorten the automation of non-confirming products
5. Minimize lost time due to long maintenance and down time
6. Knowledge in pneumatic and electric actuator
7. Ensure safety and housekeeping standards/regulations are being maintained

Requirements

1. ITE / NITEC or Form 3 and above

2. 3 years working experience in automation

3. Able to multi-task and troubleshoot equipment issues that may arise

Pls indicate your notice period, current/last drawn and expected salary.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Benefits:

• Competitive salary and performance-based incentives.
• Dynamic and collaborative working environment.
• Comprehensive benefits package, including healthcare.
• Continuous learning and professional growth opportunities.

We are seeking a skilled and experienced CCTV Technician for maintenance and repair of closed-circuit television (CCTV) systems and physical security systems. As a security professional, you will play a crucial role in enhancing security and surveillance for our clients by deploying and maintaining state-of-the-art physical security systems and equipment and providing exceptional technical support.

• Perform routine maintenance of CCTV systems to ensure functionality.
• Diagnose and troubleshoot technical issues related to cameras, wiring, and recording devices.
• Replace faulty components and repair or replace damaged cables as needed.
• Maintain records of maintenance and repair activities.
• Provide technical support to clients, assisting with system operation, user training, and troubleshooting.
• Respond to service requests promptly and address any issues efficiently.
• Maintain detailed records of system configurations, installations, and service history.
• Prepare reports on CCTV system performance and recommendations for improvements.
• IT trained individuals without physical security systems knowledge are welcome

Job Description

• Assist the Manager in the implementation of the Facility Management Enterprise System Platform and Facilities Maintenance Management System on site.
• Directly in charge of the implementation of IoT Sensors, Smart Meters, Facilities Maintenance Management System, etc on site.
• Assists in the collation and analysis of information from the FM Enterprise System to facilitate decisions and report for stakeholders.
• Assist the Manager to source, evaluating vendors and negotiating contracts to support project implementation.
• Management of project timeline and expectation, while building strong relationships in the process to achieve customer satisfaction
• Any other assignments as and when directed by the Management

Requirements

• Diploma in IT, Intelligent Building, Green FM, Building Services and with minimum 3 years of relevant work experience
• Candidate with IT and digital knowledge in built environment will be an advantage
• Good communication (written and version) skills and possess strong presentation skills
• Ability to multi-task and manage multiple projects simultaneously
• Passion in promoting digital transformation and technology solutions

CMS Data Technology Pte. Ltd. (CMS) is founded in Dec 2015 and it is on the mission of transforming Singapore construction industry through tech. CMS is focused and committed to the research & development of innovative digital platforms to empower the digital transformation of the construction industry. CMS provide All-In-One solution for construction management, that seamlessly connects stakeholders across the entire building lifecycle to build safer, faster, better, and more cost-effective projects.

In year 2023, CMS launched its new chapter in construction industry. CMS collaborates with robotics hardware vendor for development of AI Robotics: Indoor Spraying Robot and Measuring Robot

Robotics and automation system are expected to boost Singapore’s built environment sector from 2024. Robotics and automation system aim to reduce reliance on low-skilled manpower and increase productivity. They can also help improve worksite safety.

CMS aims to provide One-stop Robot Construction Implementation Plan to the industry.

As the company is constantly growing, we are seeking for a talented Robotics Technician to join the team.

Roles and Responsibilities

We are looking for a talented Robotics Technician to provide technical support for the Company’s robotics business. You will maintain, develop, operate, and test robotic systems and machines. You are required to work on construction site.

• Daily interaction with Spraying Robot
• Provide onsite operating of spraying robot
• Conduct routine check and regular preventative maintenance activity
• Repair and troubleshoot robot related issues
• Able to perform basic electrical works
• Provide robot operating guidance and training to client

Requirements

• Diploma or Degree in Engineering (Electrical & Electronic, Computer Science, Telecommunication, Information System of the equivalent)
• At least 1-2 years of working experience in robotics industry or telecommunication industry (involving operating and servicing of robotics or machinery)
• Good knowledge of technical skills and strengths in troubleshooting
• Perform basic electrical and cabling support

Element has an opportunity for a Metallurgy Technician. In this role, your primary responsibility is to perform routine, metallurgical, mechanical, failure, corrosion testing facilitating metallurgy operations at site or at a laboratory.

This role is based in Tuas location.

Job Duties:

• Perform routine mechanical testing (tensile, bend, charpy impact, hardness) including CTOD and metallurgical testing (micro / macro examinations) Involvement in site / field testing
• Coordinating with the technicians in the team to carry out work as per the planning schedule and assist with hazard identification and risk assessment exercises within their areas of responsibility
• Conduct either or combination of testing, analysis, calibration, monitoring, sampling and collection and sample preparation as directed
• Carry out routine laboratory tests, analysis, machining or preparation in line with authorized technical competence
• Carry out daily sample collection and ensure work compliance to ISO 17025 requirements

Job Description:

• Possess a minimum of Diploma in Metallurgy or related discipline, with 2-4 years of relevant working experience
• Good knowledge on international standards and codes
• Possess driving licence
• Good communication skills
• Self-motivated team playing with excellent organisational and communication skills

HOW TO APPLY:

Interested applicants, please submit your updated resume to putri.nashera@element.com

Please state your availability, current & expected salaries for processing purpose. All applications will be treated in the strictest confidence. We regret that only shortlisted candidates will be notified.

Job Descriptions:

* Development & Implementation of Instrumentation & Control, Robotic, Building Automation, Industrial Automation, Process Control Application.

* Implementation of Process Automation, Instrumentation and Control, Testing and Commissioning, Technical Support, Customer Service, PLC Programming, SCADA / HMI programming, Computer and Server, Industrial Networking

* Responsible for design & development, implementation, onsite testing & commissioning, support, documentation and training

* Ad-hoc engineering support to customer when required.

* Willing to work on fast pace environment.

Job Requirements:

* Relevant graduate degree for Engineering (Electrical, Mechanical, Computing, or Mechatronic)

* Min 1-2 yrs experience in good engineering practice, process automation, robotic, service and maintenance. Fresh graduates are welcome.

* Hands on experience in instrumentation implementation

* Knowledge of Building Automation & Process Control

* Experience in BMS / PLC / HMI process control / automation system, onsite commissioning

* Good technical skills in Allen-Bradley / Siemens PLC programming, SCADA

* Strong problem-solving and analytical skills

* Hardware configuration and software coding

* IT knowledge for Server/Client and Infrastructure

* Electrical, instrumentations and control knowledge

* Customer orientated

* Analytical thinking

* Good communication skills for both written and spoken

* Ability to work well with others in a team environment, providing input and feedback in a helpful manner.

* Able to interact well with vendors.

* Strong team player with excellent interpersonal and communication skills, ability to work independently, Pro-active and able to work in a fast paced environment and handle multiple tasks when required.

Interested applicant please send resume with expected remuneration to recruit@winsys.com.sg

We regret that only shortlisted candidates will be notified.