Total 715 process development engineer job vacancies in Pasir Gudang

The Associate SoftwareTesting Engineer will be responsible for the Software Test design andexecution for the applications under test and will closely work with the QAManager, Business/Functional Analyst and Project Manager through the ProjectLife Cycle. The individual should have a strong understanding of Agile andwaterfall models

• Experience in Software Development Life Cycle Process (SDLC) , Software Testing Lifecycle (STLC) ,Test Methodologies and defect life cycle.
• Knowledge and experience in analysing Software Requirement Specification and identifying and creating  the required test scenarios, test cases, test data and document traceability matrix to ensure sufficient test coverage.
• Experience in executing test cases and test plans to support the quality assurance activities throughout the software lifecycle.
• Able to perform defect reporting and verification of the fixes.
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge.
• Experience in testing mobile apps.
• Able to conduct Test Readiness Review (TRR) to ensure readiness of the test phase.
• Experience in API testing using postman.
• Knowledge of SQL and scripting.
• Hands-on experience and expertise with test management tool.
• Development /scripting skills in programming languages which are compatible for Selenium WebDriver such as Java/C#/Python.
• Experience in Automation of Web Applications.
• Good Knowledge in using Version control Management tools such as Bitbucket, GitHub and sound understanding of the code review process.
• experience in manualtesting, with at least 2-3 years focused on Microsoft Dynamics CRM 365
• Strong knowledge of Dynamics CRM functionality, including sales, marketing, service, and custom modules.
• Analyse business requirements and translate theminto detailed test cases for Microsoft Dynamics CRM 365 applications
• Execute test cases manually, including functional, integration, and regression testing for Microsoft Dynamics CRM modules.
• Identify, document, and track defects/issuesfound during testing in defect management tools like Jira, Azure DevOps, etc.

Requirements

• Bachelors Degree in Computer science or related field 
• 5-10 years of Testing experience
• Effective Communication with strong interpersonal skills and good analytical, problem solving skills.
• Healthcare domain knowledge (good to have)
• Basic knowledge of automated testing tools and scripting is an advantage.
• Experience in testing integrations with other Microsoft technologies

• Position : Service Engineer (Precision Cooling / Data Centre)
• Location : Yishun
• Working hours : 5.5 Days Work Week – Monday to Friday: 9.00AM to 6.00PM, Saturday: 8.00AM to 12.00PM
• Salary (commensurate with experience) : Up to $3,700 Basic + $300 Standby Allowance + Performance Bonus + 7-14 Days Annual Leave + Medical Benefits
• Duration : Perm
• Industry : 3PL

Responsibilities:

• Install, test and commission precision cooling systems such as CRAC, CRAH and chiller equipment.
• Perform refrigerant charging, leak checks, piping, electrical connections, airflow testing, humidity control and alarm verification.
• Integrate cooling systems with BMS via Modbus, BACnet or other protocols.
• Conduct preventive maintenance including filter replacement, coil cleaning, fan/motor checks, condensate drain inspection and humidifier servicing.
• Check refrigerant levels, compressor performance, electrical panels, safety controls and system readings.
• Troubleshoot and repair faults such as compressor failure, fan motor issues, controller errors and refrigerant leaks.
• Replace faulty components including compressors, TXVs, fan motors, PCBs and related parts.
• Respond to emergency breakdown calls and provide timely onsite support when required.
• Prepare service reports, maintenance logs and technical documentation.
• Provide basic operation training to customers and coordinate with OEM support for warranty or technical matters.
• Ensure compliance with safety and refrigerant handling requirements.

Requirements:

• ITE / Diploma in Mechanical, Electrical Engineering or related field.
• 2–3 years of experience in precision cooling, CRAC, CRAH or chiller equipment preferred.
• Knowledge of refrigerant circuit diagnosis, electrical schematics, BMS integration, VFDs and EC fans.
• Able to use diagnostic tools such as manifold gauges, multimeter, thermal imager and leak detector.
• Good customer service, communication and reporting skills.
• Willing to work on 24/7 on-call standby, travel to sites and support data centre environments.

Email to: jeslyn@searchpersonnel.com.sg

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jeslyn Tan

Deputy Consulting Director (APAC)

Reg no.: R21101247 | EA No: 13C6684

Our shortlisting process takes 3 working days, and only shortlisted candidates will be contacted.

If you do not hear from us within this period, your application was not shortlisted. We encourage you to continue your job search, and we will contact you should a suitable opportunity arise. We wish you all the best.

SUMMARY

Represent the quality function of technical support, in conjunction with other internal support groups, regarding issues affecting manufacturing.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

· Develop and maintain QA plans and process routings, which reflect intended/actual activities.

· Provide support for all quoting activities by participation in initial process design, development, and implementation phases.

· Evaluate and support inspection processes via inspection aids and instruction guidelines.

· Support all training programs by development and implementation of specialized training sessions for all applicable functions.

· Conduct periodic review and maintenance of all documentation files; develop appropriate systems for document storage and access.

· Review all supplier or customer discrepancies. Coordinate and track the corrective/preventative action effort.

· Provide trend analysis of defects occurring at the customer, supplier and internally.

· Participate in the vendor survey activities as applicable.

· Drive proactive participation with suppliers and (when possible) aid in their process improvement efforts.

· Interface with all departments as applied to the Policies and Procedures with special regard to ISO, EN4600 and GMP documentation.

· Monitor departmental activities and provide technical and logistical guidance/support for the quality engineering staff as applicable.

· Interface and provide technical support on quality issues with the customer as needed.

· Support and focus corrective action efforts and utilizing the SPC data and corrective action tracking package and create and implement any meetings, procedures, or team-building concepts as necessary as part of the corrective/preventative effort.

· Serve as liaison between Jabil Circuit and suppliers or customers on quality related issues.

· Improve technical support for the quality organization.

· Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor.

· Comply and follow all procedures within the company security policy.

MINIMUM REQUIREMENTS

Bachelor's degree required and two years related experience; or equivalent combination of education and experience.

Notes : To manage PQE (Product Quality) and SQE (Manage Supplier performance)

Additional Job Description

o PQE (Product Quality):

To ensure product quality meets defined specifications and regulatory requirements throughout the product lifecycle. This includes monitoring quality performance, driving defect reduction, ensuring compliance with standards, and supporting continuous improvement initiatives.

o SQE (Supplier Performance Management):

To manage and improve supplier quality performance by monitoring supplier compliance, addressing quality issues, driving corrective and preventive actions, and ensuring suppliers meet contractual and quality requirements. This helps to reduce supplier-related risks and improve overall supply chain quality.

KEY RESPONSIBILITIES:

• Contribute to IP selection and architecture definition; create functional specifications.
• Perform PPA evaluation and optimization.Develop RTL for functional blocks/units with architectural features and timing constraints, targeting synthesis and APR.
• Support debugging across RTL simulation, gate-level, and post-layout simulations.
• Conduct quality checks using FE EDA tools such as Spyglass.lint, CDC, RDC, etc.
• Take ownership of the full project lifecycle, from architecture to production.

PREFERRED EXPERIENCE:

• > 10 years of hands-on experience in digital frontend design.
• Strong proficiency in Verilog/VHDL.
• Hands-on experience with logic FE tools (e.g., VCS, Verdi, Spyglass, DC).
• Experience in Static Timing Analysis is a strong plus.
• Prefer candidates with experience implementing advanced-process chips.
• Familiarity with low-power design and power simulation preferred.
• Proficiency in TCL, Perl, or similar scripting languages is a plus.
• Prior experience with multiple tape-outs and chip bring-up is preferred.
• Leadership or management experience is an advantage.

ACADEMIC CREDENTIALS:

• Bachelor or Masters Degree in Electronic Engineering, with years relevant work experience.

Company Description

Zuler is a global leader in remote desktop and cloud computing technologies, specializing in ultra-low latency, high-resolution solutions with their proprietary ZeroSync® Engine. With millions of users and enterprise subscribers worldwide, Zuler is revolutionizing connectivity and accessibility to high-performance computing. The company is backed by significant investments, patents, and a diverse team of industry experts.

About the Role

We are now seeking an experienced Full Stack Engineer that is proficient with the latest AI tools to drive the design and development of the web applications for our current projects end-to-end.

Key Responsibilities:

1. Design and develop the front-end architecture of web applications, ensuring a smooth user experience and highly responsive interfaces;
2. Build high-performance, scalable server-side applications using Node.js, and design RESTful APIs and microservices architectures;
3. Utilize Python for data analysis, script development, and the creation of automation tools;
4. Leverage AI-assisted programming tools to enhance code quality and development efficiency;
5. Participate in technology selection and architecture reviews, driving continuous improvement in the team’s technical capabilities;
6. Collaborate effectively with product, design, and testing teams to ensure timely and high-quality project delivery.

Requirements:

1. Work Experience: Minimum of 5 years of full-stack development experience, with a proven track record of delivering end-to-end projects from inception to production;
2. Front-End Skills: Strong proficiency in HTML5, CSS3, and JavaScript; hands-on experience with at least one mainstream framework such as React, Vue, or Angular; familiarity with front-end engineering practices and performance optimization;
3. Back-End Skills: Deep expertise in Node.js and its ecosystem (e.g., Express, Nest.js, Koa), with experience in developing high-concurrency and distributed systems;
4. Python Skills: Proficient in Python for back-end development, data processing, or automation scripting;
5. Databases: Solid experience with databases such as MySQL, PostgreSQL, or MongoDB, including database design and optimization capabilities;
6. DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines, with hands-on experience using cloud service platforms;
7. AI Tools: Proficient in using AI-assisted development tools, with strong prompt engineering capabilities.
8. Language Skills: Proficiency in Chinese (Mandarin) language in both verbal and written media is essential to communicate with key stakeholders and cross-functional project team members based in China.

Preferred Qualifications:

1. Contributions to open-source projects or demonstrated influence through technical blogs or developer communities;
2. Familiarity with AI/LLM application development, with practical project experience.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Assisted-Polymeric-Memristor-with-Homogenous-Switching-Enables-In-situ-Neurom/33269-en_GB/?st=C6A47C97803351A6289A799639FE792AEAB10BB6

We regret that only shortlisted candidates will be notified.

Job Description

•    Investigation into using AI for material selection and design
•    Investigation into model construction for neuromorphic computing of materials and device
•    Mentor Master students
•    Draft grant proposals
•    Oversee lab safety
•    Draft review article 
•    Assist the research group and PI in group logistics and travel reimbursements

Job Requirements

•    Master degree in chemistry, materials science and engineering, or chemical engineering. 
•    Ample research experience in AI for Science
•    Solid background/experience in  Neuromorphic Computing
•    Excellent communication and writing skills
•    Prior undergraduate mentoring experience
•    Assist in chemicals and supplies ordering for research group
•    Assist in travel reimbursements

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC), a joint venture between Vanguard International Semiconductor Corporation (VIS) and NXP Semiconductors (NXP) has started construction on a 300mm wafer manufacturing facility in Singapore, targets automotive, industrial, consumer, and mobile end markets.

Role Summary

You will be responsible and focused on improving tool performance and availability, in charge if maintenance, diagnosing failures and implementing effective solutions to meet uptime and cycle time requirements in the Etching (Dry Etch and Wet Etch); Photolithography; Metrology; Diffusion; Thin Film - Chemical Mechanical Planarization (CMP); Chemical Vapor Deposition (CVD); or Physical Vapor Deposition.

Key Responsibilities

• Lead and ensure equipment performance in cleanroom environment for quality production.
• Handle on-duty tasks and conduct fundamental alarm troubleshooting; identify root cause and problem-solve critical equipment issues with urgency
• Install and qualify new tool sets on schedule to increase capacity promptly
• Continually improve tool uptime availability, drive defect reduction and enhance hardware capability
• Develop defense and monitoring system to prevent equipment failure or performance lost.
• Analyze complex data sets and derive actionable insights to optimize equipment parameters and controls
• Actively collaborate with equipment suppliers and partners to identify tool deficiencies; develop, evaluate, and validate corrective and preventive solutions
• Mentor junior engineers and technicians, fostering technical excellence, operational discipline, and continuous improvement.

Education Qualification & Essential Experiences

• A bachelor’s degree or higher in Electrical and Electronics Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Physics, or a related STEM field
• Minimum of 4 years of experience as any of the respective module equipment engineer, possessing in-depth knowledge.
• Experience working in a 12” fab would be advantageous

Key Skills and Attributes

• Good interpersonal and communication skills to work effectively across functions and geographical teams with diverse background
• Strong analytical and problem-solving skills to achieve positive results and outcome
• Goal driven and an excellent team player that can work under pressure in a dynamic and fast-paced environment
• Has a growth mindset, prioritizing adaptability, resilience, innovation, and ongoing learning to support business needs

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

Job Description

We are seeking a talented and self-motivated Scientist, the successful candidate will join the Advanced Process Modules (APM) team at IME, develop specialty technologies for CMP process.

Key Roles and Responsibilities

1. Develop CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications to enable process and/or product realization.
2. Provide technical leadership in collaboration with process development, optimization, and troubleshooting for both industrial and grant-funded projects.
3. Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
4. Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.
5. File patents and know-hows for new development activities.
6. Publish research findings in leading journals and conferences

Job Requirements

1. Ph.D degree in Electronics, Microelectronics, Materials Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
2. Minimum 2 years of relevant working experiences in R&D and/or semiconductor industry, preferably in CMP technologies.
3. Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
4. Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
5. Hands-on experience with basic process characterization techniques such as SEM, Ellipsometry, and AFM is a plus.
6. Strong skills in experimental design (DOE), data analysis, and process optimization.
7. Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
8. Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

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.

• Position: Electrical Engineer

• Location: PSA Terminal/Local Shipyards

• Working Hours: Monday to Friday (8.30am - 5.30pm)

• Salary (commensurate with experience): Up to $4,500 + OT Payable + Variable Bonus

• Duration: Permanent

• Industry: Shipbuilding and Engineering

Main Responsibilities:

• Troubleshooting and maintenance of marine engine control system electrical and automation systems

• Attend vessel service jobs onboard ships and shipyards

• Prepare service reports and technical documentation

• Support commissioning, repair, and testing activities

• Coordinate with customers, service engineers, and project teams

Requirements:

• Possess Diploma in Electrical Engineering or its equivalent

• Minimum 3 years working experience in the marine industry

• Experience in marine engine control systems, automation, troubleshooting, or electrical maintenance is preferred

• Able to attend onboard vessels and overseas assignments when required

Email to: abby.pang@searchpersonnel.com.sg for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

• Position: Sales Engineer

• Location: Kallang

• Working hours: Mondays to Fridays (8.30am - 5.30pm), Saturday (8.30am - 12.30pm); (One Saturday/month upon confirmation) 

• Salary (commensurate with experience): Up to $5,000 Basic Salary + Phone Allowance + Transport Allowance + AWS + Variable Bonus

• Duration: Permanent

• Industry: Pump manufacturer

Main Responsibilities:

• Grow and service existing accounts 

• Attend to sales enquiries, sales support and site related matters 

• Visit customers at their work place/office 

• Assist to monitor payments from customers 

• Any related ad-hoc duties assigned by management 

Requirements:

• Possess NiTEC or Diploma in Mechanical / Electrical Engineering, Mechatronics or equivalent

• At least 1 year of experience with pumps and systems is preferred

• Possess class 3 driving license

Email to: abby.pang@searchpersonnel.com.sg for more information.

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

As a Software Engineer III in the Singapore Cloud and Third Party Security team, you will work independently to deliver on well-defined engineering milestones. You will contribute to building and scaling products that identify and secure Alphabet's public cloud and third-party environment usage. You will collaborate closely with senior engineers and cross-functional partners, leveraging this opportunity to deepen your expertise in cloud security engineering while helping establish our Singapore software engineering presence.

Qualifications

Job responsibilities

• Implement and test software features, APIs, and tools to support cloud security controls and third-party risk remediation.
• Deliver end-to-end tasks and milestones for projects with minimal assistance from more senior team members, planning and organizing your own work effectively.
• Participate in system design and architectural discussions, contributing technical perspectives and helping select appropriate approaches to address technical challenges.
• Collaborate with immediate team members and cross-functional partners to deliver on project milestones and proactively manage blockers.
• Maintain high code quality by writing comprehensive unit/integration tests, participating in code reviews, and improving documentation.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building software for data privacy or security (e.g., identity and access management).
• Experience with modern software engineering practices, including unit testing, continuous integration, and code review.
• Experience in Go and Python and familiarity with public cloud platforms and basic cloud security concepts.
• Ability to learn quickly and adapt to new technologies and ambiguous problem spaces.
• Excellent communication skills and ability to collaborate effectively within a global team.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build and maintain ultra-reliable live production services handling high-volume traffic, and massive batch pipelines seamlessly processing billions of records per day.
• Reduce infrastructure complexity, improve reliability, and ensure security and privacy compliance.
• Develop effective machine learning models.
• Work with product and marketing teams for experimentation and launch.
• Analyze data for statistical insights, design experiments and metrics, and generate ideas for improvement.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java, C/C++, Python, JavaScript, or Go).
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience building data pipelines for machine learning.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in developing and maintaining machine learning models in production
• Experience in analyzing and improving efficiency, scalability, and stability of various systems
• Experience with sandboxing solutions, ensuring the highest standards of security and privacy.