Total 50 system engineer job vacancies in Maintenance / Repair category in d19 serangoon garden hougang sengkang punggol

You will drive R&D initiatives to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will:

• Define and influence the direction of the team, organization, and/or department
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Effectiveness at leading and executing large, complex technical initiatives
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and leading others

Remuneration: Basic with AWS & VB

+ $120 Transport Allowance + $66 (Flexible Benefit Allowance) + eMedical Card (cover spouse + children under 18)

Work location: MacPherson

Working hours: Monday to Friday

Job Description:

• Responsible for planning and implementing the execution of preventive and corrective programs within schedule in compliance to regulatory standards and requirements.
• Perform troubleshooting/ faut diagnosis/ failure analysis to determine cause of failure for equipment.
• Development of Standard Operating procedures (SOP) and Work Instructions (WI) to technicians to develop their competence.
• Develop and perform Risk Assessments to evaluate mitigation measures for all maintenance activities.
• Establish and maintain proper document system to achieve all jobs internally for sharing and audit purposes.
• Assist in identification, planning and reviewing of necessary training needs for mentoring and coaching of maintenance staffs.
• Preparation and write maintenance and spares consumption report.
• Perform other duties as instructed by Management.

Job Requirements:

• Degree in Maintenance Engineering or related discipline
• 2–3 years of relevant work experience
• Ability to relate work with different stakeholders
• Proficiency in Excel, Words and Powerpoint
• Able to think and work independently and as a team member in a challenging environment

Daniel Wilson | Reg No.: R24125247

Recruit Now Singapore Pte Ltd | EA Licence No.: 21C0845

technical understanding requirement .

a) understands the drawings and scope of works

b) understands the implications of different technicalchoice so as to meet the project objectives

c) involve in providing value engineering solutions basing on his knowledge .

d) to have knowledge in the preparationof engineering proect proposals and method statements .

e) carry out project objectives so align with company goals.

f) to co-ordinate program and monitor site work , materials , plant and equipment .

g) involving in client /consultant / sub-contractor meetings .

h) to carry out short term planning to meet site progress .

g) shop / as build drawing preparation .

h) Assists project manager in monthly progree report

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

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

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

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

Main Responsibilities

1. Coordinate maintenance contractors, review checklists and ensure customer D.O. sign-off within the time.
2. Support Data analytics team with ongoing improvement on automation of data gathering, analysis and reporting, including fault detection and root cause identification
3. Prepare and maintain comprehensive energy conservation action plan to include previous and ongoing efforts and short, intermediate and long-term goals
4. Prepare operational and maintenance schedule as per MIS
5. Work closely and collaborate with the customer support team to ensure customer satisfaction.
6. Identify potential upselling opportunities at client site during regular or ad-hoc maintenance
7. Remote monitoring of the system operation and performance and reach site if any emergency.
8. Familiarization of Refrigeration System Chillers & Freezers, Compressors, Cooling towers, FCUs, Cold room, ETV doors and related controllers.
9. Working with a team and deliver the work within the planned schedule.
10. Collect the onsite operating parameters like cold room and space temperature and verify with SCADA.
11. Collaborate with Internal teams regarding any controls and programming related onsite works.

Qualifications

1. Diploma, Bachelor of Engineering Mechanical, Electrical or Equivalent
2. Electrical or Mechanical troubleshooting experience would be advantageous
3. HVAC knowledge of Chiller Plant, FCU, SCADA, Air side equipment
4. Strong communication and analytical skills.

Job Description

• Carry out routine maintenance and repair work (Machine and Facilities)
• Perform plumbing, painting, and minor repairs
• Provide technical support and training to staff
• Implement preventive maintenance schedules
• Ensure compliance with health and safety regulations

Job Requirements

• Electrical / Mechanical engineering knowledge is an advantage
• Machinery repair and maintenance is an advantage
• Able to work as a team and individually
• Must be willing to be hands on
• Able to do overtime and work on Saturday and Sunday if required

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-to-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

About Us:

Portcast is a venture-backed startup which predicts global trade flows to help logistics and shipping companies become more profitable. We are a predictive analytics company that offers a fast-paced, innovative environment where you will be empowered to sell our AI-product to C-level executives. We are customer-obsessed and are constantly working to provide our customers access to actionable and insightful data to build resilient supply chains.

Based in Singapore, and backed by leading VCs and senior industry advisors, Portcast is a team of young tech and industry talent building a game-changing product for the logistics and shipping industry.

About the role:

We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models into production. You will handle the full lifecycle—from research and model building to deployment and scaling in real-world environments. This hands-on role requires designing robust algorithms that address key business problems, particularly in visibility, prediction, demand forecasting, and freight audit. Your focus will be on ensuring model accuracy, reliability, and scalability in production systems.

What You’ll Do:

• Develop and deploy machine learning models from initial research to production, ensuring scalability and performance in live environments.
• Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization.
• Design and implement machine learning algorithms that address key business problems that our product focuses on in visibility, prediction, demand forecasting and freight audit.
• Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices.
• Perform feature engineering, model tuning, and validation to ensure that models are production-ready and optimized for performance.
• Build, test, and deploy real-time prediction models, maintaining version control and performance tracking.

To thrive in this role, you must have:

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
• 5+ years of experience in building, deploying, and scaling machine learning models in production environments.
• Experience deploying Generative AI models in production environments, with a strong understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques
• Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments.
• Experience working in a product-based company, preferably within a startup environment with early-stage technical product development.
• Strong expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with real-time data processing, anomaly detection, and time-series forecasting in production.
• Experience working with large datasets and big data technologies like Spark and Kafka to build scalable solutions.
• First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges.
• A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results.
• Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset.

Join us at Portcast and be part of a high performing team that is shaping the future of the logistics and shipping industry through cutting-edge predictive analytics!

Where you fit in

Maintenance Reliability Turn Around (MRTA) is about understanding and maintaining our equipment as effectively and efficiently as possible, making sure it performs as intended. The Maintenance discipline covers the development of Maintenance strategies and the planning, coordination, and execution of Maintenance activities. Maintenance ensures safe, defect free and efficient operations through the regular upkeep of equipment and tools in the most cost efficient and timely manner.

What’s the role?

As an Instrument/Quality Measuring Instrument (QMI) Field Execution Engineer/Assistant Engineer, you will be based in Shell Pulau Bukom under Maintenance Department with key accountabilities as the following:

• Provides day-to-day hands-on maintenance and troubleshooting including contractor/ specialist management for all Instrument/QMI maintenance related matters.
• Responsible for carrying out preventive and corrective maintenance works and ensuring plant equipment availability including instrumentation, control valves, analysers and the control system.
• Diagnose and troubleshoot instrumentation and control system malfunctions, ensuring timely resolution to minimize downtime.
• Perform preventive maintenance on instrumentation and control equipment by calibrating instruments, replacing components, and conducting routine checks.
• Develop and implement maintenance plans and procedures to ensure system integrity and performance.
• Analyse and interpret control system data to identify potential issues and optimize system performance.
• Support the development and implementation of upgrades and modifications to the instrument and control systems.
• Compliance to HSSE standards and requirements to make Shell Pulau Bukom a safe place to work, and accountable for all assigned Critical activities.
• Perform Authorized Applicant and/or Authorized Engineer as per Permit to Work (e-PTW) requirement.
• Participate in Asset Management System (AMS) & Maintenance Execution (ME) assessment and determine Instrument/QMI equipment maintenance task and schedule.
• Participate Field Acceptance Test/ Site Acceptance Test (FAT/SAT) and Functional testing to ensure equipment are meeting the design intent when required.
• Perform Instrument/QMI equipment condition monitoring & liaise with relevant subject matter experts (SME)/ specialist/ OEM to address any arising issues, problems & concerns.
• Prepares job specifications and costing for works involved and apply work clearance / permit for work execution.
• Participate and execute for Turnaround (TA)/ Pit-stop (PS) events in related Process Units (PUs).
• Maintains work requests and records on maintenance works using computerized maintenance management systems, GSAP-PM.
• Maintain accurate documentation for instrument and control systems, server systems, and maintenance activities. to ensure all equipment technical records and drawings are updated to reflect the latest changes.
• Contribute to the development of the annual operating budget of the section to ensure achievement operational targets of section.
• Attend Standby Duty callout to an Emergency work upon request

What we need from you

To be successful in this role, you will have:

• Assistant Engineer position: Minimum NITEC Level 2 certification in Instrumentation or Electronics or Electrical
• Engineer position: Minimum Diploma/Degree in Instrumentation or Electronics or Electrical
• 3-5 years of relevant experience in Instrument construction/ Maintenance in oil & gas, chemical/ petrochemical or related industries.
• Knowledge in basic control system and/or functional logic is an advantage.
• Proven ability to diagnose and troubleshoot instrument and control system malfunctions.
• Experience with calibration of industrial instrumentation.
• Understanding of control system principles (PLC, DCS) and communication protocols (OPC, Fieldbus, Modbus, HART, Vnet).
• Able to understand PID and have knowledge of instrumentation and control element
• Basic understanding of server system administration, including troubleshooting and maintenance procedures.
• SAP (GSAP) knowledge in Maintenance Module.
• Experience in field work interfacing and stakeholder’s engagement.
• Excellent communication, analytical, problem-solving, and troubleshooting skills.
• Self-motivated with a strong commitment to teamwork and collaboration and managing contractors and vendors.
• Able to work in Team environment as well as standalone when need arises.

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will assist the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-To-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

Job Description:

• Responsible for the upkeeping of facilities and equipment.
• Plan and implement effective preventive maintenance program for facilities and equipment.
• Ensure preventive maintenance stipulated are being conducted promptly.
• Coordinate with contractors in relation to facilities/equipment repair and maintenance, ensure their quality and safety standards meet the requirements.
• Closely monitor all critical repairs to ensure short down time.
• Maintain proper documentation.
• Recommend the replacement and upgrade of facilities and equipment through the annual budgeting process.
• Participate in continuous improvement program to achieve cost reduction.
• Perform any other duties as and when assigned.

Requirements:

• Diploma and above, preferably in facilities management, mechanical or electrical engineering.
• Relevant work experience in facilities.
• Licensed Electrician Worker (LEW) accredited by EMA will be an added advantage.

Job Summary

Responsible for the analysis and preparation of specifications and construction drawings, design documents for process and industrial plants in accordance with project specification schedule and customer requirements.

Duties & Responsibilities

• Responsible for field instrument and control system design work.
• Able to lead small/medium size project within budgeted MH, cost and project schedule.
• Prepare and review field instruments, Analyzer, Control Systems (DCS, ESD, F&G etc) specification, requisition, TBE, vendor document review.
• Prepare and review construction drawings such as Index, IO List, Location layout, hook-up, cable routing, loop diagram etc. based on project specifications.
• Evaluate and select suitable instruments for required process control/monitoring application.
• Lead the estimation work of BMBQ, Man-hour, technical proposal writeup, for new tender project.
• Preparation of project monthly report and attending project & client meeting as required.
• Work collaboration with other GEC and monitor daily job task assignment.
• Perform FAT/inspection for control system and field instruments as required.
• Perform SAT, Loop check, site construction and commissioning support as required.

Requirements

• Bachelor’s degree in Chemical Engineering, Electrical and Electronic Engineering or Instrument and Control Engineering.
• 15 years’ experience in instrument and control system design work.
• Knowledge and experience in Field Instrument Engineering as well as Control System, e.g. DCS, ESD, F&G.
• Able to work at construction site to support construction, pre-commissioning and commissioning activities.
• Good interpersonal and communication.

Interested parties, please send in your detailed resume.

Job Summary

Responsible for the analysis and preparation of specifications and construction drawings, design documents for process and industrial plants in accordance with project specification schedule and customer requirements.

Duties & Responsibilities

• Responsible for field instrument and control system design work.
• Able to lead small/medium size project within budgeted MH, cost and project schedule.
• Prepare and review field instruments, Analyzer, Control Systems (DCS, ESD, F&G etc) specification, requisition, TBE, vendor document review.
• Prepare construction drawings such as Location layout, hook-up, cable routing, loop diagram etc. based on project specifications.
• Generate specification requisition for various process instruments, evaluate and select suitable instruments for required process control/monitoring application.
• Preparation of technical proposals (e.g. TBE) and cost estimation for tender projects.
• Preparation Vendor’s Document Review, BMBQ, Man-hour estimation and related.
• Engineering Support at site, attend Field Instrument & Control Inspection, FAT at vendor’s workshop and SAT & Loop Check at site.
• Perform other functions that may be assigned by superior.

Requirements

• Bachelor’s degree in Chemical Engineering, Electrical and Electronic Engineering or Instrument and Control Engineering.
• 8 years’ experience in instrument and control system design work.
• Knowledge and experience in Field Instrument Engineering as well as Control System, e.g. DCS, ESD, F&G.
• Able to work at construction site to support construction, pre-commissioning and commissioning activities.
• Good interpersonal and communication.

Interested parties, please send in your detailed resume.

Wonder Engineering Technologies Pte Ltd, based in Singapore since 2010, is an instrument solution provider for the refining and petrochemical industries. We specialize in critical temperature measurement applications such as Sulphur Recovery Units, Reactor Catalyst Beds, Furnace Tube Temperature Monitoring, and Flare Remote Monitoring. Additionally, under the Wonder® brand, we produce competitive tank storage instruments including explosion-proof LED lights, MOV actuators, and Retractable Grounding Reels (RGR) tailored for external floating roof tanks.

Our expertise, combined with innovative technologies, enables us to deliver customized solutions and exceptional service to our clients worldwide.

Wonder® is a registered brand from Singapore.

Instrument Engineer – Regional / 5 Days

Work Location: West

Responsibilities:

We are seeking a skilled Instrument Engineer to join our team.

• Assist in managing the service team.

• Provide guidance to the service engineer in troubleshooting during any plant upset.

• Liaising with technical experts and customers to provide options to customers in resolving issues.

• Assist in project execution.

• Assist in liaising with customers on documentation submission such as mechanical & electrical drawing, engineering reports & Factory Acceptance Test procedure for approval.

• Assist in onsite installation works as well as clearing T&C with the owner upon completion.

• Assist in managing project POs and liaising with contractors/suppliers for quotation.

Requirements:

• Diploma in engineering or related field.

• 2 years of experience in engineering or related field.

• Good interpersonal and communication skills.

Responsibilities:

• Model development: Design, develop, and implement machine learning models and algorithms to address specific business problems or opportunities.
• Data preprocessing: Clean, preprocess, and analyse large datasets to extract meaningful insights and features for use in AI/ML models.
• Model training and evaluation: Train, validate, and optimise machine learning models using various techniques such as cross-validation, hyperparameter tuning, and performance evaluation.
• Model deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
• Collaboration: Collaborate with data scientists, software engineers, and business stakeholders to understand requirements, iterate on models, and integrate AI/ML solutions into existing systems.
• Research and innovation: Stay updated on the latest AI/ML research, tools, and best practices, and apply innovative approaches to solve complex problems and drive continuous improvement.
• Documentation and reporting: Document the development process, model performance, and insights generated, and communicate findings to technical and non-technical stakeholders.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Prompt Generation: Developing and refining AI models and algorithms to generate contextually relevant and accurate prompts for various applications, such as chatbots, virtual assistants, or natural language processing systems.
• Natural Language Understanding: Enhancing AI models to understand and interpret user input, queries, or commands, and generate appropriate prompts or responses based on the context and intent.
• Model Training and Tuning: Training and fine-tuning AI models using machine learning techniques to improve prompt generation, language understanding, and response generation.
• Contextual Awareness: Ensuring that AI prompts are contextually aware and adaptive to different scenarios, user preferences, and conversational contexts.
• Collaboration: Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to integrate prompt generation capabilities into AI-powered applications.
• Performance Evaluation: Evaluating the performance and accuracy of prompt generation models, iterating on solutions to enhance contextual relevance and user experience.
• Research and Innovation: Staying updated on the latest AI research, natural language processing advancements, and conversational AI trends to inform prompt engineering strategies and initiatives.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

About the Role:

Responsible for Refinery/Chemicals/Petrochemicals/Oil&Gas Industries in the Field of Instrumentation & Control System design of greenfield/revamp/retrofit/Brownfield for Pre-FEED, FEED and Detail Engineering phase of Portfolio, Small, Medium & Large projects.

Technical/Functional Responsibilities:

• Prepare & issue Instrument Basis of Design, Project Specification for DCS, SIS, FGS, MMS and PLC systems and Instrumentation required for Packaged Equipment’s
• Prepare, Review and approve Instrument data sheets such as Control valve, On-Off Valves, Safety Relief Valves & other field instruments etc. Verify the calculations for the orifice plate bore, Control Valve Cv, and PSV’s, etc.
• Prepare, Review & approve Cause & Effect diagram and Logic diagrams. Review and approve all the vendor documents for DCS, SIS, FGS, MMS, PLC systems, Instruments and also for Mechanical Packaged equipment’s.
• Prepare and issue Material / Technical Requisition for all instruments, carry out Technical Bid Evaluation and Vendor Documents Review & approval.
• Review and approve instrument Index, DCS/SIS/FGS/MMS/PLC I/O Lists.
• Cable schedule, Interconnection wiring drawings, Termination drawings, Junction box schedule, Instrument Hook-up drawings, Material Take off.
• Prepare & issue Specification for Instrument cables, Junction boxes, Instrument Installation scope. Review and approve Block diagrams, Control / Rack room layout, Cable route, instrument location plan, Loop drawings.
• Review of P&ID’s, Isometric drawings and 3-D modelling.
• Work Experience in both Green Field & Brown Field Projects
• Ensure to adherence of Quality Management System, establish and follow Worley QA plans.

Qualifications - Internal

• Bachelor or Master Engineering degree in Instrumentation Engineering / Technology
• 20-25 years design experience in Petrochemical/Chemical/Oil & Gas industry
• Familiar with both International and Local Codes & Standards
• Knowledge of SPI, AVEVA Instrumentation, SP3D, E3D Databases are essential
• Should have handled at least two Mega / large projects as a Lead Instrumentation Engineer.
• Working knowledge on various Client Standards includes Shell DEP, Chevron Standards etc.
• Field Instrumentation and experience in Control Systems with strong leadership skills & teamwork is a requisite.
• Pro-active, able to communicate direct, open and flexible.
• Working experience with Global Integrated Delivery (GID) / High Value Engineering Center (HVEC) is a must

Responsibilities:

• Develop and optimize real-time computer vision applications for video analytics and edge AI solutions.
• Design and implement data pipelines to handle high-volume, real-time video streams.
• Build scalable, high-performance video processing pipelines with integration into cloud services or on-prem infrastructure.
• Collaborate with machine learning engineers to deploy deep learning models for object detection, segmentation, tracking, and classification on live video feeds.
• Ensure system performance, scalability, and robustness through optimization and efficient resource utilization.
• Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance.
• Stay updated on the latest advancements in computer vision, machine learning, and deep learning technologies, incorporating them into the project roadmap.

Requirements:

• 3+ years of experience in computer vision or related fields.
• Expertise in NVIDIA DeepStream SDK for real-time video analytics and AI-based applications.
• Hands-on experience with Apache Kafka for building real-time data pipelines.
• Extensive experience in AWS
• Proficiency in OpenCV, GStreamer for image and video processing tasks.
• Strong experience with C++, Python, and libraries/frameworks such as
• TensorFlow, PyTorch, or TensorRT for deploying AI models.
• Understanding of video compression standards (H.264, H.265) and streaming protocols (RTSP, RTP, etc.).
• Familiarity with Docker and Kubernetes for deploying scalable microservices in cloud environments.
• Experience with Edge AI hardware like NVIDIA Jetson or similar platforms.
• Solid understanding of parallel computing and GPU acceleration techniques (CUDA).
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Main Responsibilities

1. Coordinate maintenance contractors, review checklists and ensure customer D.O. sign-off within the time.
2. Support Data analytics team with ongoing improvement on automation of data gathering, analysis and reporting, including fault detection and root cause identification
3. Prepare and maintain comprehensive energy conservation action plan to include previous and ongoing efforts and short, intermediate and long-term goals
4. Prepare operational and maintenance schedule as per MIS
5. Work closely and collaborate with the customer support team to ensure customer satisfaction.
6. Identify potential upselling opportunities at client site during regular or ad-hoc maintenance
7. Remote monitoring of the system operation and performance and reach site if any emergency.
8. Familiarization of Refrigeration System Chillers & Freezers, Compressors, Cooling towers, FCUs, Cold room, ETV doors and related controllers.
9. Working with a team and deliver the work within the planned schedule.
10. Collect the onsite operating parameters like cold room and space temperature and verify with SCADA.
11. Collaborate with Internal teams regarding any controls and programming related onsite works.

Qualifications

1. Diploma, Bachelor of Engineering Mechanical, Electrical or Equivalent
2. Electrical or Mechanical troubleshooting experience would be advantageous
3. HVAC knowledge of Chiller Plant, FCU, SCADA, Air side equipment
4. Strong communication and analytical skills.

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

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

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

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• No experience required as training will be provided
• Must be willing to learn
• Able to resonate with our culture of Respect, Teamwork, Drive
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location: 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

About the role

We are looking for a Senior AI/ML expert with a combination of Engineering/Applied Research experience to help us develop our foundational logical reasoning AI system. You will have worked in AI/ML for several years to have experienced, researched/applied different neural network architectures to various problems (e.g. natural language, vision, graphs, symbolic, formal domains), using several model training and optimization techniques (e.g. value models, reinforcement learning, search strategies), and across modalities (text, audio, video). A strong track record in graphs (graph theory, GNNs, GraphML, etc.), and ML-based code synthesis and/or validation will be invaluable. We are especially keen on candidates who have applied ML to real-world physical/materials/etc. engineering applications/use cases – either directly as a full-time or even as an expert consultant across industries/domains.

Key responsibilities

• Design, develop, deploy and evaluate novel machine learning models and algorithms to solve theorem proving as a foundational framework to developing logical reasoning in AI
• Apply various ML techniques, including supervised, unsupervised, and reinforcement learning
• Work with large datasets to preprocess, clean, and transform data for model training and evaluation
• Implement data pipelines and ETL processes to ensure efficient data flow and accessibility
• Design and conduct experiments, analyze results, develop metrics and benchmarks profile and optimize the performance of machine learning models

Desired Experience & Qualifications

• Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field
• 2+ years in machine learning, AI, or related fields
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data engineering tools and platforms such as Apache Spark, Hadoop, or similar
• Experience with MLOps practices and tools for model deployment, monitoring and logging such as Prometheus, Grafana, or ELK stack
• Experience with deep learning architectures and techniques, especially across domains, including vision, natural language, graphs; bonus for other NN architectures, e.g. symbolic, GraphML, etc
• Experience with program/code synthesis or models focused on systems design generation
• Experience applying ML to various real-world and engineering use cases
• Familiarity with cloud platforms and their ML toolkits, especially containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or CircleCI
• Contributions to open-source projects in machine learning or AI communities

Hummingbird Bioscience is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all Singapore and US federal, state and local laws and/or guidelines that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

Support and service of barcode printers, scanners, CCTV, RFID and network infrastructure.

Our growing company is looking for a printer technician. To join our growing team, please review the list of responsibilities and qualifications.

Responsibilities for printer technician

· Support other IT equipment during low volume of barcode printer issues

· Installation, service, testing and troubleshooting of all hardware and software programs for the customer on site and in the field

· Troubleshoot computer hardware issues, operating systems, and antivirus and software issues

· Investigate and resolve trouble tickets quickly and efficiently providing root cause analysis as required

· Respond to, evaluate and prioritize incoming support requests, maintain SLAs and document support requests in ticketing system (ServiceNow)

· Perform installation and configuration of workstations, printers, cable distribution systems and other related equipment as applicable

· Excellent hardware diagnosing and repair skills, including disassembly and re-assembly of products

· Experience in network design, installation, and maintenance

· Excellent verbal and written communication skills to participate and engage in project meetings and technical work sessions with co-workers and customers

· The ability to complete training classes, personal study, and certification exams as assigned

Qualifications for printer technician

· Determining how a system should work and how changes in conditions, operations, and the environment will affect outcome

· High School diploma or equivalent and 2-4+ year's printer/copier service or industry related experience

· Repairs & performs preventative maintenance on hardware (black / white or color digital copiers)

· Utilizes systems in place for service call tickets, parts usage and transfer of inventory

· Will utilize websites, technical manuals, handbooks and technical publications to keep current with new equipment and enhancements to old

· Valid & Clean driver's license reliable transportation a must

2. SKILLS

Troubleshooting

Hardware

Inventory

Root Cause Analysis

Electrical

Computer Hardware

Network Design

CCTV

Transportation

Operating Systems

Publications

ServiceNow

Manufacturing

3. KEY INFORMATION

Job Post Duration

30 Calendar Days

Number of Vacancies

1

Job Function

Engineering, Information Technology, Repair and Maintenance

Position Level

Fresh/entry level

Minimum Years of Experience

1

Employment Type

Contract, Full Time

Minimum Qualification Level

ITE diploma

Field of Study

Computer Operations/Technical Support

Monthly Salary Range (SGD)

$2,000 - 2,800

Government Support

No schemes selected

4. WORKPLACE DETAILS

Workplace Address

Local

Postal Code

339155

Block/House No.

11

Street Name

KALLANG PLACE

Building Name (optional)

5. SCREENING QUESTIONS

There are no screening questions for this job postin

Summary

The APAC Business Technology Team within Johnson & Johnson Innovative Medicine, is looking for an extraordinary machine learning engineer who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional) and patients.

As the regional machine learning engineer, you will be responsible for designing and building the machine learning engineering solutions across the region. You will leverage your technical expertise, experience, and communication skills to work across business & technology teams productionize innovative data science models and applications. Your technical knowledge and ability to apply them, will be paramount to your success in this role. Focus areas include (but not limited) to patient analytics, commercial strategy, and patient support program analytics. Specifically, you will build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to deliver scalable, reusable, extensible and flexible solution.

• Deliver end to end machine learning applications for our key projects across the region.
• Execute the regional machine learning engineering strategy including people, technology, platforms, and process.
• Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

You will be someone who stays on the cutting edge of artificial intelligence, data science and software engineering through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing software development lifecycle, AI algorithms and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

Responsibilities

Build and Own Machine Learning Solutions:

• Collaborate with data scientist and other technology teams to design and build machine learning engineering solution for the region.
• Establish and maintain ML pipelines to automate the training, testing, and deployment of AI models
• Implement CI/CD practices to ensure continuous integration and delivery of AI solutions.
• Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.

Cloud AI Solutions (AWS and Azure):

• Architect and implement scalable AI solutions on cloud platforms such as AWS and Azure.
• Utilize cloud services to manage and deploy AI models, ensuring high availability and performance.

Research and Innovation:

• Stay updated with the latest advancements in data science, cloud technologies, and MLOps practices, and bring them to the team.
• Drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies

Qualifications

Required Minimum Education: Bachelor’s degree

Required Years of Related Experience: At least 5 years' professional experience is required with at least 3 years of production grade machine learning model development experience.

• Minimum 3 years of experience in Machine Learning and MLOps, developing end-to-end machine learning solutions. Must have proven ability to take solutions to production, while effectively monitoring and maintaining them.
• Over 6+ years of experience in the software engineering lifecycle as a developer, with a focus on writing production code.
• Excellent programming skills in Python and proficiency in PySpark.
• Must have hands-on experience working with software development toolkits and devOps automations like Kubernetes, Airflow, Jenkins, Jira, Confluence, and Git.
• Strong working knowledge of deep learning and machine learning techniques such as regression, decision trees, Bayesian models, clustering etc.
• Hands-on experience working with cloud solutions, specifically AWS and Azure.
• Experience in Databricks, Azure ML, AWS Sagemaker is a plus.
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-function teams.
• Self-motivated and highly driven individual who thrives under ambiguous requirements

Summary

The APAC Business Technology Team within Johnson & Johnson Innovative Medicine, is looking for an extraordinary GenAI and Machine Learning Engineering Lead who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional) and patients.

As the regional Gen AI and Machine Learning engineer, you will be responsible for designing and building GenAI and machine learning engineering solutions across the region. You will leverage your technical expertise, experience, and communication skills to work across business & technology teams productionize innovative data science models and applications. Your technical knowledge and ability to apply them, will be paramount to your success in this role. Focus areas include (but not limited) to patient analytics, commercial strategy, and patient support program analytics. Specifically, you will build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to deliver scalable, reusable, extensible and flexible solution.

• Deliver end to end GenAI and machine learning applications for our key projects across the region.
• Execute the regional GenAI strategy including people, technology, platforms, and process.
• Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

You will be someone who stays on the cutting edge of artificial intelligence, data science and software engineering through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing software development lifecycle, AI algorithms and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

Responsibilities

GenAI Solution Architecture Design and Implementation

• Lead a team of AI engineers, and DevOps specialists to design, develop, and optimize Generative AI architectures tailored to specific use cases and business requirements.
• Collaborate with data scientist to drive the end-to-end implementation of GenAI models, including training, fine-tuning, and deployment.

Prompt Engineering

• Collaborate with data scientists to create and refine prompts for various AI applications
• Develop advanced prompt engineering techniques to enhance the performance and accuracy of GenAI models.

Machine Learning Solution build and deployment:

• Collaborate with data scientist and other technology teams to design and build machine learning engineering solution for the region.
• Establish and maintain ML pipelines to automate the training, testing, and deployment of AI models.
• Implement CI/CD practices to ensure continuous integration and delivery of AI solutions.
• Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.

Cloud AI Solutions (AWS and Azure):

• Architect and implement scalable AI solutions on cloud platforms such as AWS and Azure.
• Utilize cloud services to manage and deploy AI models, ensuring high availability and performance.

Research and Innovation:

• Stay updated with the latest advancements in Generative AI, cloud technologies, and MLOps practices, and bring them to the team.
• Drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies.

Qualifications

Required Minimum Education: Bachelor’s degree

Required Years of Related Experience: Minimum of 7 years professional experience is required with a minimum of 5 years building machine learning model development is preferred

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, AI red teaming libraries, LLM monitoring and evaluation.
• Minimum 4+ years of experience in Machine learning engineering and MLOps, developing end-to-end machine learning pipelines. Must have a proven ability to take solutions to production, while effectively monitoring and maintaining them.
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.
• Must have hands-on experience working with software development toolkits, and devOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.
• Excellent programming skills in Python and proficiency in PySpark.
• Experience in DataBricks, AWS Sagemaker and Azure ML is plus.
• Strong leadership skill with ability to influence the thought process and drive alignment.
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.

• Key Responsibilities:

• Research and develop state-of-the-art deep learning models for time-series analysis.

• Experiment with and implement cutting-edge techniques in signal processing and machine learning.

• Conduct extensive data preprocessing, cleaning, and feature engineering to optimize model input.

• Manage the complete model lifecycle in a cloud computing environment, utilizing best practices in MLOps.

• Collaborate closely with R&D teams to design solutions that align with project objectives and customer needs.

• Publish findings, contribute to scientific literature, and participate in relevant conferences.

• Required Skills:

• Advanced degree (Masters or PhD) in Machine Learning, Computer Science, Electrical Engineering, Mathematics, or related fields.

• Strong theoretical and practical knowledge of neural networks, particularly RNN, LSTM, and attention mechanisms, tailored to time-series data.

• Proficient in Python programming and experienced with PyTorch and other deep learning frameworks.

• Demonstrable experience with cloud computing platforms like GCP or AWS, focusing on distributed systems for machine learning.

• Solid background in signal processing relevant to real-time data from sensors and industrial equipment.

• Prior experience in an R&D setting, with a proven track record of innovative problem-solving and publication.

• Recommended Skills:

• Experience with advanced MLOps practices, including automated model testing, deployment, monitoring, and maintenance.

• Familiarity with additional programming languages such as R or Java, beneficial for diverse R&D projects.

• Certification in cloud technologies and machine learning, such as AWS Certified Machine Learning - Specialty or Google Professional Machine Learning Engineer.

• Active participation in the machine learning community, with contributions to open-source projects or active engagement in technical forums.