Total 10 Manager electronic engineer job vacancies in Maintenance / Repair category in Malaysia

Summary

Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of data scientists that craft, implement, and operate analytical solutions with direct and measurable impact to Apple and its customers. You will build and lead a team of SDS machine learning engineers, who employ machine learning, statistical analysis techniques, and system design to build end-to-end solutions for Apple's fulfilment and financial programs. You will engage with a large and talented cross-functional team as we work to build out our solutions, projects and programs. Apple's dedication to customer privacy, the adversarial nature of fraud and risk, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of integrating existing data science methods with engineering and business process to deliver tangible business value! This position is based in Singapore.

Description

- Lead and mentor a team of software engineers, machine learning engineers and technical fraud analysts - Design and maintain real-time automated decisioning systems and operations for fulfilment and financial products. - Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions - Engage with business partners and understand their unique requirements and design them technical solutions - Review the teams production code and logic for highly integrated system - Distill and clearly communicate complex technical topics for both business and engineering partners - Analyze data and tell meaningful stories to assist business partners. - Collaborate with and support the team to innovate, encouraging experimentation and growth

Minimum Qualifications

• Graduate degree in a quantitative field or equivalent professional experience
• Experience leading a team of machine learning engineers, software engineers and technical fraud analysts
• Practical experience training, deploying, and maintaining decisioning algorithms
• Familiarity with distributed databases, data warehousing, and SQL

Preferred Qualifications

• Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines
• Ability to comprehend and debug complex system integrations spanning toolchains and teams
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Ability to think at a systems level to anticipate technical, business, and customer impact
• Clear communication and presentation skills
• Unwavering ability to maintain poise and a positive attitude in a challenging and dynamic environment
• Strong organizational skills with an ability to oversee and drive multiple activities at once
• Excellent problem solving skills, business acumen, and solution design mentality
• Experience writing, reviewing, and deploying production software
• Experience in the following a plus: operations, fulfilment, supply chain, payments, financial risk, credit and fraud

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.

• Responsible for the planning, coordinating and managing of all maintenance activities for all sites to ensure its operational availability
• Plan and manage manpower needs
• Develop maintenance standard operating procedures (SOP) and ensure implementation
• Analyse failures trends and implement corrective actions
• Manage and Monitor equipment inventory
• Monitor expenses and control the budget
• Manage relationships with all relevant stakeholders
• Conduct regular performance review with customers
• Ensure proper record of all documentation are kept
• Reviews procedures to modify maintenance procedures for better optimization of resources
• Train, manage and develop staff under his charge
• Ensure compliance on health and safety policies

Requirements:

• Diploma in Information Technology / Electrical Engineering or related discipline
• Good analytical, problem solving and facilitation skills
• Good planning and organizational skills
• Good communication and interpersonal skill
• Proven work experience as Operations Manager or similar role
• Knowledge of organizational effectiveness and operations management
• Proficient in Microsoft Office
• ITIL certification preferred
• Working experience in security systems or related field will be an advantage

Clarice Lim (R1656152) | Anchor Search Group Pte Ltd(17C8528)

Hotel Indigo Exeter, Exeter managed by the Focus Hotels Management Group. We are seeking to recruit a Maintenance Engineer Manager to join our team.

Who are we
The neighbourhood of adaptation, inspiration and contemplation perched on the River exe, the historic centre of Exeter was once described as the Jewel of the West. In the heart of the City Centre, Hotel Indigo Exeter has been lovingly restored and converted from its department store origins. The hotel was once the home of Colson's, a department store which opened in 1792 by local miller Mrs Colson. The hotel staying true to its roots now boasts 104 stylish bedrooms designed to honour elements of its historic past. Fully equipped with luxury amenities, Egyptian cotton linens, spa inspired bathrooms, 40" flat screen TV's this is the perfect place to stay and explore the sights and sounds of the city.

Role Responsibilities
As a Maintenance Engineer Manager at Hotel Indigo Exeter, you will play a pivotal role in ensuring the smooth operation of our hotel by managing and maintaining its physical assets and infrastructure. Your responsibilities include:

o Overseeing and managing the hotel's maintenance team, ensuring high-quality service delivery.
o Planning and executing maintenance and repair activities for the hotel's facilities, including rooms, common areas, and mechanical systems.
o Managing and ensuring the proper functioning of essential systems such as HVAC, plumbing, electrical, and security systems.
o Scheduling and supervising preventive maintenance to minimise downtime and operational disruptions.
o Collaborating with other departments to address maintenance-related issues promptly and efficiently.
o Managing maintenance budgets and expenses while ensuring cost-effectiveness.
o Ensuring compliance with health and safety regulations and environmental standards.
o Evaluating and recommending improvements to enhance the hotel's physical assets.
o Handling maintenance-related emergencies and providing timely solutions.

Key Requirements
You should possess the following skills and qualifications:

o Previous experience in maintenance management within the hotel or hospitality industry.
o Strong technical and mechanical knowledge, including HVAC, plumbing, electrical systems, and general building maintenance.
o Exceptional problem-solving abilities and attention to detail.
o Leadership and team management skills.
o Ability to manage maintenance budgets and resources effectively.
o Proficiency in IT applications for maintenance management.
o Knowledge of health and safety regulations and environmental standards.

Gradiant is a technology driven water Service Company with a vision of solving the world’s most challenging and highest value water treatment problems, currently focused on purifying contaminated water from oil and gas extraction and other industrial processes. Gradiant’s technologies were developed at MIT and are now commercially converting highly contaminated waste streams to drinking quality water. The company offers the opportunity to work on challenging problems in a high growth environment and ability to make large scale impact on the energy and environmental security of the world.

Gradiant is an equal opportunity employer, offering a friendly workplace and competitive compensation and benefits.

JOB SUMMARY:

The incumbent will play a pivotal role in the design, implementation, and support of hardware, software, instrumentation, and control systems within integrated projects. Your responsibilities will encompass a wide range of tasks from developing technical documentation to collaborating with interdisciplinary teams and external vendors.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Design and Technical Support: You will be responsible for the design and technical support of all hardware, software, instrumentation, and control elements within integrated systems. This includes identifying, creating, and supporting project documentation such as HMI, PLC programming, power distribution, control/signal wiring, wireless technology, cabinet/panel design, BOM, and layout drawings.
• Instrumentation Specifications: Develop instrumentation specifications aligned with process requirements and control schemes. Collaborate with engineering, project management, and deployment teams to identify and resolve technical issues.
• Technical Direction: Provide technical direction as required to ensure the successful implementation and functioning of instrumentation and control systems.
• Vendor Coordination: Work closely with external vendors and purchasing departments to select equipment components, establish specifications, manage material take-offs, requisitions, and vendor orders. Coordinate efforts to ensure cost control, adherence to project schedules, and seamless manufacturing processes.
• Interdisciplinary Collaboration: Demonstrate the ability to work independently and within interdisciplinary team environments. Perform all duties professionally and promptly, contributing to the overall success of projects.
• Problem-solving and Cost Control: Address technical and practical challenges while maintaining strict adherence to cost controls. Approach problems from both technical and practical perspectives to ensure effective solutions.
• Documentation Management: Prepare, review, and issue various project documentation including instrument schedules and lists, document index, I/O lists, cable schedules, termination drawings, instrument hookup drawings, and material take-offs. Ensure accuracy and completeness in all documentation.
• Drawing Preparation and Review: Check and issue block diagrams, control room layouts, cable routes, instrument location plans, loop drawings, instrument hook-up details, and sizing and calculation documents. Provide guidance to designers for drawing preparation.
• Instrument Data Sheets: Prepare and issue instrument data sheets for various field instruments including control valves, on-off valves, PCVs, MOVs, PSVs, etc. Ensure alignment with project requirements and specifications.
• Coordination and Communication: Coordinate requirements with other disciplines and communicate effectively with project managers and team members to ensure seamless integration of instrumentation and control systems within projects.

SKILLS/EXPERIENCE/EDUCATION REQUIRED:

• Bachelor’s degree in engineering or related field with 10+ years of experience in system controls, instrumentation and wiring.
• Wastewater, Chemical Processing and/or Oil & Gas systems experience is preferred.
• Experience designing PLC & control panels, PLC and HMI programming is required.
• Must possess in depth knowledge of Automation programmable controller hardware, automation software and AC Drives
• Knowledge of Microsoft Office and AutoCad.
• Knowledge of PLC programming experience is a bonus.
• Prior experience with SCADA system.

Essential Duties & Responsibilities:

• Be responsible for the design and technical support of all hardware, software, instrumentation and controls elements as part of an integrated system.
• Identify, create and support project documentation including, but not limited to HMI, PLC programming, power distribution, control/signal wiring, wireless technology, cabinet/panel design, BOM and layout drawings.
• Develop instrumentation specifications as related to process requirements and control schemes. Support engineering, project management and deployment groups to identify and resolve technical issues.
• Provide technical direction as required.
• Work with outside vendors and purchasing to select and establish equipment component specifications, material take-offs, requisitions and vendor orders while coordinating cost control, project schedule and manufacturing efforts.
• Have the ability to work independently and in an interdisciplinary team environment to perform all duties in a professional and timely manner.
• Must be able to work through problems from a technical and practical prospective, while maintaining cost controls.
• Prepare, check, and issue instrument schedule and list, including document index, instrument index, I/O list, cable schedule, interconnection wiring drawings, termination drawings, junction box schedule, instrument hookup drawings, and material take off.
• Check and issue block diagrams, control/rack room layout, cable route, instrument location plan, DCS, SIS, BMS systems loop drawings, instrument hook-up details, and instrument sizing and calculation.
• Prepare and issue instrument data sheets for control valves, on-off valves, PCVs, MOVs, PSVs, and other field instruments.
• Guide designers to prepare drawings.
• Coordinate requirements with other disciplines.
• Work with Project Managers and other team members.

Skills & Experiences required:

• Bachelor’s Degree in Engineering or related field with 10+ years of experience in System Controls, Instrumentation and Wiring.
• Experience in Wastewater, Chemical Processing and/or Oil and Gas systems experience is preferred.
• Experience designing PLC & Control panels, PLC and HMI programming is required.
• Must possess in-depth knowledge of Automation programmable controller hardware, automation software, and AC Drives
• Knowledge of Microsoft Office and AutoCAD
• Knowledge of PLC programming experience is a bonus.
• Prior experience with SCADA system
• Keen to work in Boonlay/West Area
• Engage to contractual role subject to extension based on project requirement needs.

Essential Duties & Responsibilities:

 Be responsible for the design and technical support of all hardware, software,

instrumentation and controls elements as part of an integrated system.

 Identify, create and support project documentation including, but not limited to HMI, PLC

programming, power distribution, control/signal wiring, wireless technology, cabinet/panel

design, BOM and layout drawings.

 Develop instrumentation specifications as related to process requirements and control

schemes. Support engineering, project management and deployment groups to identify

and resolve technical issues.

 Provide technical direction as required.

 Work with outside vendors and purchasing to select and establish equipment component

specifications, material take-offs, requisitions and vendor orders while coordinating cost

control, project schedule and manufacturing efforts.

 Have the ability to work independently and in an interdisciplinary team environment to

perform all duties in a professional and timely manner.

 Must be able to work through problems from a technical and practical prospective, while

maintaining cost controls.

 Prepare, check, and issue instrument schedule and list, including document index,

instrument index, I/O list, cable schedule, interconnection wiring drawings, termination

drawings, junction box schedule, instrument hookup drawings, and material take off.

 Check and issue block diagrams, control/rack room layout, cable route, instrument

location plan, DCS, SIS, BMS systems loop drawings, instrument hook-up details, and

instrument sizing and calculation.

 Prepare and issue instrument data sheets for control valves, on-off valves, PCVs, MOVs,

PSVs, and other field instruments.

 Guide designers to prepare drawings.

 Coordinate requirements with other disciplines.

 Work with Project Managers and other team members.

Skills & Experiences required:

 Bachelor’s degree in engineering or related field with 10+ years of experience in system

controls, instrumentation and wiring.

 Wastewater, Chemical Processing and/or Oil & Gas systems experience is preferred.

 Experience designing PLC & control panels, PLC and HMI programming is required.

 Must possess in depth knowledge of Automation programmable controller hardware,

automation software and AC Drives

 Knowledge of Microsoft Office and AutoCad • Knowledge of PLC programming

experience is a bonus.

 Prior experience with SCADA system

JOB SUMMARY:

The incumbent will play a pivotal role in the design, implementation, and support of hardware, software, instrumentation, and control systems within integrated projects. Your responsibilities will encompass a wide range of tasks from developing technical documentation to collaborating with interdisciplinary teams and external vendors.

Responsibilities:

• Design and Technical Support: You will be responsible for the design and technical support of all hardware, software, instrumentation, and control elements within integrated systems. This includes identifying, creating, and supporting project documentation such as HMI, PLC programming, power distribution, control/signal wiring, wireless technology, cabinet/panel design, BOM, and layout drawings.
• Instrumentation Specifications: Develop instrumentation specifications aligned with process requirements and control schemes. Collaborate with engineering, project management, and deployment teams to identify and resolve technical issues.
• Technical Direction: Provide technical direction as required to ensure the successful implementation and functioning of instrumentation and control systems.
• Vendor Coordination: Work closely with external vendors and purchasing departments to select equipment components, establish specifications, manage material take-offs, requisitions, and vendor orders. Coordinate efforts to ensure cost control, adherence to project schedules, and seamless manufacturing processes.
• Interdisciplinary Collaboration: Demonstrate the ability to work independently and within interdisciplinary team environments. Perform all duties professionally and promptly, contributing to the overall success of projects.
• Problem-solving and Cost Control: Address technical and practical challenges while maintaining strict adherence to cost controls. Approach problems from both technical and practical perspectives to ensure effective solutions.
• Documentation Management: Prepare, review, and issue various project documentation including instrument schedules and lists, document index, I/O lists, cable schedules, termination drawings, instrument hookup drawings, and material take-offs. Ensure accuracy and completeness in all documentation.
• Drawing Preparation and Review: Check and issue block diagrams, control room layouts, cable routes, instrument location plans, loop drawings, instrument hook-up details, and sizing and calculation documents. Provide guidance to designers for drawing preparation.
• Instrument Data Sheets: Prepare and issue instrument data sheets for various field instruments including control valves, on-off valves, PCVs, MOVs, PSVs, etc. Ensure alignment with project requirements and specifications.
• Coordination and Communication: Coordinate requirements with other disciplines and communicate effectively with project managers and team members to ensure seamless integration of instrumentation and control systems within projects.

SKILLS/EXPERIENCE/EDUCATION REQUIRED:

• Bachelor’s degree in engineering or related field with 10+ years of experience in system controls, instrumentation and wiring.
• Wastewater, Chemical Processing and/or Oil & Gas systems experience is preferred.
• Experience designing PLC & control panels, PLC and HMI programming is required.
• Must possess in depth knowledge of Automation programmable controller hardware, automation software and AC Drives
• Knowledge of Microsoft Office and AutoCad.
• Knowledge of PLC programming experience is a bonus.
• Prior experience with SCADA system.

Your new role

- Design, develop, and deploy machine learning models to address key business challenges.

- Collaborate with data scientists and analysts to understand data requirements and implement appropriate machine learning solutions.

- Optimize machine learning algorithms for performance and scalability. - Implement automated processes for data preparation, model training, model validation, and deployment.

- Work closely with IT and engineering teams to integrate machine learning models into existing business systems and processes.

- Stay updated on the latest trends and advancements in machine learning, AI, and related technologies.

What you'll need to succeed

- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

- Proven experience in developing and implementing machine learning models. - Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).

- Experience with data processing and analysis tools.

- Understanding of cloud computing and big data platforms.

- Excellent problem-solving skills and attention to detail.

- Fluent in English for effective communication.

- Ability to work in a fast-paced and collaborative environment.

What you need to do now

If you're interested in this role, reach out to me directly at my email address (dylan.tan@hays.com.sg) with your updated CV. Referrals are always welcomed so feel free to forward this to anyone you know who might be good for this role.

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

EA Reg Number: R1660446

EA License Number: 07C3924

Company Registration No: 200609504D