1. JOB DESCRIPTION

Job Title

Mechanical Project Engineer

Occupation

Engineer

Job Description & Requirements

Responsibilities:

• Site coordination of equipment assembly and troubleshooting.

• Follow up site technical issues.

• Coordinate and plan supply of materials to site.

Requirements:

• Degree from polytechnic with mechanical, electrical or related study.

• Min. 1 year of relevant working experience in plant or construction machinery.

• Excellent proficiency in Mandarin and English.

• Able to use Autocad or other CAD Softwares.

• Good knowledge of MS Excel and MS Word.

• Has class 3 driving license.

• Hands on and self-motivated to work.

• Advantage if having site experience.

Key Responsibilities

• Plan, design, and manage construction projects, including infrastructrual works and building works.
• Conduct site inspections and ensure compliance with project specifications, standards, and safety regulations.
• Prepare detailed reports and technical documents.
• Collaborate with consultants, contractors, and project stakeholders.
• Monitor project progress and budget, addressing any deviations.
• Perform risk assessments and implement mitigation strategies.
• Ensure adherence to local, state, and federal construction codes.

Qualifications

• Bachelor’s degree in Civil Engineering or Structural Engineering from a recognised instituion.
• Fresh graducates are welcomed.
• Proficiency in software like AutoCAD, Civil 3D, and project management tools.
• Excellent analytical and problem-solving skills.
• Effective communication and team collaboration abilities.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

Electrical engineers design, develop, test, and oversee the manufacturing of electrical equipment and systems. They also manage projects, ensure safety standards are met, and collaborate with other engineers and technicians. Some of their responsibilities include:

• Designing systemsElectrical engineers design electrical systems for a variety of applications, including automobiles, aircraft, and power generation equipment. They also design and draft construction drawings.
• Managing projectsElectrical engineers manage engineering projects, including timelines, resources, and teams. They also track work progress to ensure projects are delivered on time and meet specifications.
• Ensuring safetyElectrical engineers ensure that installations and applications meet safety standards and are in line with customer needs. They also carry out work in accordance with safety procedures.
• CollaboratingElectrical engineers often collaborate with teams from other departments, so they need to be able to communicate complex ideas clearly.
• Analyzing performanceElectrical engineers perform quality and performance analysis on new and legacy systems. They also summarize data and report on test results.
• Preparing budgetsElectrical engineers examine the needs of new equipment, calculate costs, and help prepare budgets.

Electrical engineers should have strong organizational and communication skills, as well as problem-solving abilities, attention to detail, and a deep knowledge of electrical engineering codes and safety standards.

Responsibilities:

• Daily site supervision
• Preparing and implementing project plans
• Monitoring safety procedures, production processes, and regulatory compliance
• Conducting RA
• Liaising with clients and other subcontractors

Requirements:

• Bachelor’s degree in Civil Engineering
• 4 years of relevant experience
• Strong analytical and critical thinking skills, with a high level of accuracy in calculations and design
• Great written and verbal communication skills
• Willingness to learn
• Team player and possess leadership qualities

Job Description:

1. Supervise subcontractors’ works to ensure timely completion and quality standards of project

2. Monitor to ensure that utilities and M&E works executed are in accordance to statutory requirements, construction procedures and safe work practices

3. Identify and resolve system failures and perform to oversee preventative maintenance

4. Work closely with utilities agencies to provide update of progress in construction site, utilities damages or unknown service

5. Liaise and coordinate between utilities agencies and construction team on excavation works, services diversion and reinstatement work near underground or utilities services

6. Compile data on utility process units, monitoring system efficiency and energy and material usage

Experience:

At least 2 years of experience in construction supervision for projects of similar scale and complexity.

Candidate with MRT project experienced is preferred.

Skill:

Proficient in CAD software AutoCad will be an added advantage.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Why Patients Need You

Whether you are involved in the design and development of manufacturing processes for products or supporting maintenance and reliability, engineering is vital to making sure customers and patients have the medicines they need, when they need them. Working with our innovative engineering team, you'll help bring medicines to the world even faster by imagining what’s possible and taking action.

What You Will Achieve

Working with Pfizer’s dynamic engineering team, you will play a critical role in developing and modifying process formulations, methods and controls to meet quality standards. Your production engineering skills will help in recommending and implementing improvements, modifications or additions that will help in solving problems. You will review product requirements in terms of product development compatibility and help Pfizer determine optimum costs and schedules of production.

As a Senior Associate, your knowledge and skills will contribute towards the goals and objectives of the team. Your focus and ability to meet team targets will help in completing critical deliverables. Your innovative use of communication tools and techniques will facilitate in explaining difficult issues and establishing consensus between teams.

It is your hard work and dedication that will make Pfizer ready to achieve new milestones and help patients across the globe.

Position summary

Senior Process Engineer serves as a member of new product introduction team will be responsible for leading product manufacturing campaigns from the start of production, providing technical supervision with respect to quality and EHS until completion and release of the material.

The core role of this position is responsible to work with various stakeholders to assess the robustness of transferring processes and analytical methods to successful completion of New Product Introduction (NPI) technical transfer project, with associated risk reduced to an acceptable level.

Position responsibilities

Process Engineering

• Develop Manufacturing / Operating Instructions and necessary Standard Operating Procedures.
• Develop, maintain and troubleshoot the process control system recipe / models.
• Carry out technical assessment for evaluation of processes.
• Investigate, report and troubleshoot findings on both quality and EHS related issues observed during manufacturing or during batch record review.
• Develop, implement and monitor robust preventive measures for processing issues.
• Play a pro-active role in ensuring the site safety and quality standards are adhered to.
• Proactively monitor, identify, develop and implement improvements in processes and equipment.
• Communicate on a regular basis to the plant personnel on process updates.
• Train the process technicians on the process and procedures as required.
• Own one or more multiple equipment / GMP systems in production and present the system overview with evidence compliance to internal and external auditors.

Organizational relationships

• Internal: Engineering, Process, Technical Services, Quality Operations
• External: Sending Site Subject Matter Experts

Qualifications

Must-Have

• Degree in engineering, preferably chemical engineering pr degree in science with major in chemistry.
• 3+ years of experience in a relevant manufacturing environment

Core competencies

• Process Engineering and Technical Knowledge
• Strong sense of commitment and dedication, with sense of urgency to get things done and results-drive attitude.
• Excellent interpersonal and communication skills, both verbal and written
• Strong team player, adaptable and versatile with the ability to work across different cultures.

1.Performing routine maintenances procedures and trouble shooting equipments breakdown.

2.Operation monitoring and layout of projects .

3.Develop and implement of maintenance programs .

4.Reviewing work orders and prioritizing workload.

5.Documenting completed tasks and preparing claims.

6.Reading, analyzing, and interpreting technical procedures, electrical schematics, blueprints, service manuals, and work orders to perform required maintenance work.

7.Assist with Inspections.

Job Description & Requirements

Responsibilities:

· Understanding process requirements from Technical Spec & P&ID.

· Interaction with customer for getting inputs for designing and Development of Control System.

· Preparing the flow chart, FDS / FCD, system configuration, P&ID for Instrumentation and verifying the electrical drawing.

· Developing the PLC programming, HMI / SCADA Designing as off-site development and onsite commissioning.

· Field wiring and commissioning the instrumentation such as transmitters, switches, valves and motors.

· Conducting Factory Acceptance Test (FAT), Site Acceptance Test (SAT) and related document preparation.

· Commissioning & troubleshooting for new & existing systems & Interaction with customer for Commissioning execution.

· Involve in the installation of new Equipment’s during plant expansion.

· Carry out Equipment improvements projects and modifications.

· Manage Projects including Testing and commissioning, on site installation, repair, maintenance and test tasks.

· PLC Programming of Life Safety Systems configurations.

· Diagnose errors or technical problems and determine proper solutions.

· Produce timely and detailed reports.

· Installing small additions and changes to existing systems.

· Follow all company’s filed procedures and protocols.

Requirements:

· At least 5 years of hands-on experience in PLC & SCADA developments and Maintenance

· Hands-on experience in Siemens S7-400 CPU, Mitsubishi, Proface, Panasonic, Allen Bradley PLC’s and redundant system configuration

· Hands on experience in Wonderware ArchestrA SCADA system, WINCC and TIA Portal

· Familiar with Automation and Control engineering

· Proficiency in Profibus communication and troubleshooting

· Bachelor’s Degree in Electrical / Electronic Engineering or above

· Knowledge of MS Office

· Basic knowledge in Mechanics, Pneumatics and Hydraulics.

· Strong personality with a hands-on attitude.

· Ability to work rotating shift and perform overtime on weekdays & weekends.

· On call support during and after office hours.

Job Responsibilities:

• Management of Quality Management Systems.
• liaise with customers & suppliers.
• Support and maintain relevant systems both internally and externally.
• Responsible for Documentation Control system and Audits.

Job Requirements:

• Good working experience.
• Precision manufacturing industry.
• Good working knowledge of checking instruments.
• Adequate understanding of Quality Management System.
• Team player with good initiative and proactive.
• Microsoft office.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

1. To assist in the overall management and technical operations of the Marine Fleet that includes the preparation, review and management of all technical documentation, vessel certificates, maintenance records, compliance records and etc.
2. Providing the necessary administrative support and coordination for any vessel inspections, repairs and docking works.
3. Assist in liaising with customers on technical and operational matters that inclusive of vessel performance, etc.
4. Attending to vessel docking, repairs and surveys when requires and carry out supervision on any contractors' repair / maintenance works on board the vessel.
5. Monitoring the technical status of vessel in term of Class certificates and surveys and ensure that all statutory certificates, equipment certificates, etc, are properly maintained, documented and up to date.
6. To identify and source for technical anoperational supplies required for the vessel/s need. Coordinate with the suppliers for timely delivery to the vessels.
7. Monitoring and controlling of the vessels consumables to prevent unnecessary wastage.
8. To keep track of the vessels LSA, FFA, cargo hoses registry, lifting gears registry and PPE of all shipboard personnel.
9. Appointed as safety committee member to carry out tool-box meeting for all the vessels and attend to vessel inspections.
10. To work closely with the HSE team to ensure the smooth implementation and compliance of company's safety and quality standards.
11. To assist in investigating any defects / failures occurred and reporting all vessel incidents, near misses to prevent and eliminate any potential incidents.
12. To assist in maintaining crew records that inclusive certifications, training, medical checks and coordinating in crew changes.
13. To undertake any other technical related tasks and assignments as and when required.

Job Requirements:

• Some relevant working experience in similar capacity
• A team player and ability to work in a team environment with minimum supervision.
• Ability to speak Bahasa Indonesia (to communicate with crew from Indonesia)
• Possess Class licence will be an advantage
• Must be contactable 24/7 and be available to board the vessels as and when required.
• Proficient in MS Office
• Possess good communication and interpersonal skills

Working Hours: Mon to Fri, 8.30am to 5.30pm

Company Transport: JE MRT

Review electrical engineering drawings and refer issues requiring changes.

Assign job tasks and work as per electrical project schedules.

Review all electrical drawings with Leadmen performing on assigned jobs to them.

Stimulate fabrication standards to ensure quality work attained from assigned staff.

Recruit, guide, train, monitor and terminate assigned employees as required.

Recommend effective solutions specified particular weight related to employment status of employees.

Schedule, assign, plan and supervise electrical shop personnel performance on different electrical projects.

Plan and prepare work and equipment usage schedule

Review electrical engineering drawings and refer issues requiring changes.

Assign job tasks and work as per electrical project schedules.

Review all electrical drawings with Leadmen performing on assigned jobs to them.

Stimulate fabrication standards to ensure quality work attained from assigned staff.

Recruit, guide, train, monitor and terminate assigned employees as required.

Recommend effective solutions specified particular weight related to employment status of employees.

Schedule, assign, plan and supervise electrical shop personnel performance on different electrical projects.

Plan and prepare work and equipment usage schedule

1. To assist in the overall management and technical operations of the Marine Fleet that includes the preparation, review and management of all technical documentation, vessel certificates, maintenance records, compliance records and etc.
2. Providing the necessary administrative support and coordination for any vessel inspections, repairs and docking works.
3. Assist in liaising with customers on technical and operational matters that inclusive of vessel performance etc.
4. Attending to vessel docking, repairs and surveys when requires and carry out supervision on any contractors' repair / maintenance works on board the vessel.
5. Monitoring the technical status of vessel in term of Class certificates and surveys and ensure that all statutory certificates, equipment certificates, etc, are properly maintained, documented and up to date.
6. To identify and source for technical and operational supplies required for the vessel's need. Coordinate with the suppliers for timely delivery to the vessels.
7. Monitoring and controlling of the vessels consumables to prevent unnecessary wastage.
8. To keep track of the vessels LSA, FFA, cargo hoses registry, lifting gear registry and PPE of all shipboard personnel.
9. Appointed as safety committee member to carry out ool-box meeting for the vessels and attend to vessel inspections.
10. To work closely with the HSE team to ensure the smooth implementation and compliance of company's safety and quality standards.
11. To assist in investigating any defects / failures occurred and reporting all vessel incidents, near misses to prevent and eliminate any potential incidents.
12. To assist in maintaining crew records that inclusive of certifications, training, medical checks and coordinating in crew changes.
13. To undertake any other technical related tasks and assignements as and when required.

Job Requirements:

• Some relevant working experience in similar capacity
• A team player and ability to work in a team enviornment with minimum supervision.
• Ability to Speak Bahasa Indonesia ( to communicate with crew from Indonesia)
• Possess of Class 3 licence will be an advantage
• Must be contactable 24/7 and be available to board the vessels as and when required.
• Proficient in MS Office
• Possess good communication and interpersonal skills

Working Hours: Mon to Fri, 8.30am to 5.30pm

Company Transport near Jurong East MRT

Review electrical engineering drawings and refer issues requiring changes.

Assign job tasks and work as per electrical project schedules.

Review all electrical drawings with Leadmen performing on assigned jobs to them.

Stimulate fabrication standards to ensure quality work attained from assigned staff.

Recruit, guide, train, monitor and terminate assigned employees as required.

Recommend effective solutions specified particular weight related to employment status of employees.

Schedule, assign, plan and supervise electrical shop personnel performance on different electrical projects.

Plan and prepare work and equipment usage schedule

Review electrical engineering drawings and refer issues requiring changes.

Assign job tasks and work as per electrical project schedules.

Review all electrical drawings with Leadmen performing on assigned jobs to them.

Stimulate fabrication standards to ensure quality work attained from assigned staff.

Recruit, guide, train, monitor and terminate assigned employees as required.

Recommend effective solutions specified particular weight related to employment status of employees.

Schedule, assign, plan and supervise electrical shop personnel performance on different electrical projects.

Plan and prepare work and equipment usage schedule

Responsibilities:

• Supervise/perform fault diagnosis, trouble shooting and maintenance of power system/component in workshops and onboard vessels
• Liaise with various departments within company and client to expedite the scope of work
• Lead a team of electricians in corrective and preventive maintenance
• Prepare work completion reports for Customer’s Acceptance.
• Perform maintenance works in accordance with vessel safety requirement
• Conduct in-depth troubleshooting of electrical connections and Programmable Logic Controllers (PLC) programs.
• Coordinate with vendors and partners, conduct design reviews with customers, and maintain documentation according to our ISO quality systems.

Requirements:

• Diploma in Electrical Engineering
• 2-5 years of relevant experience in the Marine related or Oil & Gas industry
• Candidate with no experience may apply
• Experienced dealing with 440V Main switchboard, Distribution Boards, Transformer, Power Generator, Main Engine, Converter, Inverter Batteries, Fire alarm & flooding system and Ship Control Monitoring & Management System
• Experience in troubleshooting on various brands of PLCs (Panasonic, Omron, Allen Bradley, Siemens, Mitsubishi, ABB, etc.) is advantageous
• Proficient in selection and integration of sensors, pneumatic systems, Stepper and Servo Motors & control systems, Power Supply Units, other electrical hard wares, etc.
• Possess man management experience in leading up to 6 men, including Supervisors and Technicians
• Willing to work as a team player to achieve assigned task within given timeline.
• Comfortable with report writing
• Able to work onboard vessels and at heights

• Other Information:
  Location: Changi
• Transport provided at or nearby: Jalan Bahar, Pioneer MRT, Boon Lay MRT, Lakeside MRT, Jurong West & East, Jalan Bukit Merah, Choa Chu Kang MRT, Bukit Panjang Plaza, Woodlands, Sembawang MRT, Yishun MRT, Bishan MRT, Ang Mo Kio MRT, Hougang Ave 8, Sengkang Square, Punggol Central, Pasir Ris MRT, Tampines MRT, Tanah Merah MRT
• 5 days work week
• Working Hours: 7.45am-5pm

Job Summary:

• Salary range : $4500 - $5500
• Working Days and Hours: Monday - Friday (8.30am - 6pm)
• Location of work: Somerset
• 1-month completion bonus upon completion of full year contract

Job Responsibilities:

• Responsible for conducting feasibility studies, market/customer needs analysis and financial analysis for electricity, utilities and related businesses. Specifically, the duties include:
• Conducting feasibility studies (Technical) of domestic and overseas projects/ investments, including economic (cost-benefit) analysis, project/ investment appraisal and project risk analysis
• Perform technical specifications review
• Provide engineering support for future developments of the group
• Participate in regulatory and statutory approval matters
  
  Requirements:
• Candidate must possess at least a Bachelor's Degree in Engineering (Electrical, Chemical, Mechanical)
• Minimum 5 years of relevant experience in Engineering/ Construction/ Oil & Gas industry
• Strong interpersonal communication and coordination skills

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON,

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

Foo Kai Jing (Fiona)
Registration Number: R2199329
EA License No: 06C2859 (MCI Career Services Pte Ltd)

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

We regret to inform that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 8 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

No Deviation is a provider of patient-centric solutions for the pharmaceutical industry, and we are currently seeking individuals who are passionate about joining our team.

Our areas of expertise include engineering consultancy, Commissioning Qualification Validation (CQV), as well as Quality, Compliance, and Regulatory services.

We strongly uphold our core values of Empathy, Integrity, and Transparency, and we strive to create a collaborative, innovative, and inclusive work environment that fosters personal growth and development.

By joining our team, you will have the opportunity to make a meaningful impact in the pharmaceutical industry while advancing your career.

Scopes & Responsibilities

• Support NPI and Site projects as Engineering Technical Lead or Subject matter experts for process equipment
• Provide technical expertise in site selection assessment to identify equipment/facility gaps, select new equipment, assess layout/utilities capacity and partner project managers to develop project cost and schedule
• Perform assessment for equipment during new product introduction, change controls and other qualifications activities to ensure equipment are in its validated state
• Subject matter expert for process equipment performance and operation to ensure safety, compliance and sustained operation
• Lead and participate in technical transfer activities and cross-functional meetings
• Work independently and/or with project managers to complete engineering projects of various scales within schedule, budget and quality constraints
• Effectively manage and work with project CQV team to ensure timely delivery of projects
• Responsible for commissioning and qualification activities including FAT, SAT, PSSR, automation checkouts, IQ, OQ, PQ, and asset/preventive maintenance/spare parts creation for new process equipment
• Participate in the system walk-down, ensure the closure of punch items and support the takeover of the system from the project team
• Work closely with project managers to introduce new equipment including development of business case, project charter, user requirement specifications, quality risk assessments, conceptual design, preliminary design, design specifications and detail design
• Participate in design review and setup up of new asset and associated maintenance plan/spares in Maximo
• Work with research, manufacturing, process development, utilities, facilities, quality assurance and validation departments in developing requirements and recommendations for large and/or highly complex system/facility modifications
• Responsible for investigation of deviations, development of corrective and preventive actions and implementation of change controls in a timely manner
• Develop, implement and optimize maintenance and reliability activities such as preventive maintenance, job plan and datasheet development in Maximo
• Benchmark equipment performance (e.g., reliability, productivity) and determine improvement plans
• Periodically review and/or improve equipment safety, maintenance strategy, spare parts, and other continuous improvement opportunities to enhance reliability
• Responsible for management and oversight of team of CQV engineers
• Develop the best team by coaching and mentoring engineers to develop their technical competency and leadership skills

Qualifications

• Doctorate degree in Engineering OR
• Master’s degree in Engineering and 4 years of directly related experience in a pharmaceutical manufacturing site OR
• Bachelor’s degree in Engineering and 8 years of directly related experience in a pharmaceutical manufacturing site
• Able to work independently with minimal of no supervision
• Experience in managing various stakeholders expectations related to process equipment in biopharmaceutical
• Good communications skills, both oral and written, including presentation skills
• Good interpersonal and facilitation skills necessary to forge consensus among competing client interests while ensuring objectives are met
• Strong analytical skills and knowledge of industry trends to identify potential improvement opportunities. Ability to combine technical problem-solving skills with business acumen to determine best business solution
• Working knowledge of biopharmaceutical processes such as chromatography, buffer / media tanks, viral filtration, tangential flow filtration is preferred. Process knowledge on inoculation, bioreactors, harvest, single use technologies and critical utilities will also be considered
• Experience in validation processes such as generation/execution of Installation/Operation/Performance qualification documentation
• Knowledge in Automation systems and processes such as RD’s, Delta-V, BMS, ladder logic and PLC
• Demonstrated project management skills (schedule/cost development, facilitation, collaboration, basic project management, completion and follow-up) and application of concepts
• Problem solving skills requiring the application of scientific and engineering theory and calculations and creative skills in the development of hypotheses and approach
• Flexibility to work off-hours
• Knowledge of Total Productive Maintenance, Reliability Centered Maintenance concepts is an added advantage

Responsibilities

• Perform daily scheduled Preventive Maintenance (PM) & Calibration (CAL) activities and provide technical support to Maintenance.
• Generate overall master PM/CAL schedule with down handler monitoring status
• Identify, recognize machine shortfall and attempt to improve on any machine related issues occurring during their daily servicing schedule.
• Responsible in buying off new machines, and work with internal and external stake holders for smooth production transfer to mass production.
• Responsible in setting up and buying off of consignment hardware with identification of constraints and major shortfall of test setup as a whole.
• Establishment and documentation of design rules, improvements or any associated hardware and software where relevant.

Requirements

• Diploma in Electrical / Mechanical Engineering or related field.
• 1-2 years working experience in Semiconductor Industry preferred.
• Able to work individually and as a team.
• Good communication and interpersonal skills.
• Excellent project management, analytical and problem-solving skills.
• Proficient in Microsoft office.
• Able to commit to 12-hour day shift when required.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.