This project is with Profileprint.ai, a startup supported by SGInnovate under the PowerX Programme.
PowerX is a 12-months traineeship programme designed to enable and create Deep Tech career opportunities for working professionals, combing bespoke training and industry experience.
Problem Statement
Traditional food ingredient quality assessment relies on time-consuming laboratory testing, subjective visual inspection, and manual sampling processes that can take days or weeks to complete. This creates significant inefficiencies in the global agrifood supply chain, leading to delayed transactions, increased waste from spoiled products, inconsistent quality standards, and higher operational costs. Agricultural commodity traders and food manufacturers need real-time, objective quality assessment tools to make faster procurement decisions and reduce supply chain risks.
Solution Overview
ProfilePrint.ai addresses these challenges through a patented Identity-as-a-Service (IDaaS) platform that combines advanced sensor technology with artificial intelligence to deliver molecular-level ingredient quality assessment in seconds. The company has developed a comprehensive SaaS solution that revolutionizes how the agrifood industry evaluates ingredient quality and authenticity.
Core Technology
The platform integrates proprietary wave detection hardware using near-infrared and Raman spectroscopy with machine learning algorithms to create unique digital fingerprints for ingredient samples. This molecular-level analysis enables rapid prediction of ingredient identity, quality, and defects with unprecedented accuracy and speed.
Core ResponsibilitiesDesign and implement comprehensive logging and metrics strategies to support operational excellence and continuous platform improvement.Instrument critical user workflows and system components to capture actionable insights into usage patterns, performance bottlenecks, and system health.Ensure consistent logging standards across distributed services and microservices.
Key Accountabilities with measurable outcomes:Improved system observability, Mean Time to Detect (MTTD) / Mean Time to Repair (MTTR)Increased platform stability through early identification of high risk workflows and recurring defects.
Contribution to the Team level activities such as:Advocate for best practices in logging, monitoring, and observability across the engineering team.Contribute to shared standards, documentation, and tooling for metrics and error tracking.Fixing application bugsDevelopment of minor product features
Project scope shall not be limited to the above. It may encompass other related tasks needed for the project/role assigned by the partner company.
About SGInnovateSGInnovate is a Deep Tech ecosystem builder and investor, backed by the Singapore Government. Our expertise and approach combines investments, talent development and community-building to catalyse the translation of emerging technologies into tomorrow’s opportunities. Through our flagship Deep Tech Central platform, we connect individuals, founders and companies to specialised resources and opportunities across all technological domains and stages of growth. Our portfolio of emerging tech startups comprises some of the most promising companies leading the commercialisation of research developed from Singapore’s RIE ecosystem. Connect with us at www.sginnovate.com.
OverviewDeep Tech Central is SGInnovate’s flagship digital platform, powering the connections that drive the deep tech economy. As we expand our digital capabilities, we are establishing a dedicated internal engineering core within the Digital Strategy & Analytics team.
RoleWe are seeking a Technical Lead to take end-to-end technical ownership of the platform. This is a high-growth role involving hands-on engineering, leading a team of developers, and shaping our engineering practices ground up.
The role provides a unique vantage point, gaining exposure to other functions within the team such as product strategy, data analytics, and research. The successful candidate will support and partner closely with the Lead of Digital Strategy & Analytics.
Responsibilities
1. Technical Ownership & Architecture:Take full ownership of the Deep Tech Central platform codebase and infrastructure.Review current architecture to identify optimisation opportunities for scalability, security, and performance.Drive decisions on tech stack evolution and cloud infrastructure (AWS) management to support data-driven initiatives.
2. Hands-on Development:Develop clean, maintainable, and efficient code for key platform features.Drive the delivery of the roadmap, ensuring technical execution aligns with the team's strategic goals.Troubleshoot production issues and implement robust CI/CD pipelines.
3. Team Leadership:Build, mentor, and lead a lean, agile team of Full Stack Developers.Conduct code reviews and uphold best practices in software engineeringTranslate strategic business requirements into technical specifications and manage sprint planning.
4. Strategic Leadership:Collaborate with the Lead of Digital Strategy & Analytics to translate business vision into digital reality.Provide technical input and oversight across Product Management, Data Analytics, and Research functionsProvide technical feasibility assessments for new business initiatives and digital experiments, including AI-related initiatives.
RequirementExperience: 4 to 7 years of hands-on full-stack software engineering experience.Tech Stack: Strong proficiency in modern web frameworks (e.g., React.js, Vue.js) and backend technologies (e.g., Node.js, Python, or Go).Data Fluency: Since you sit within the Digital Strategy & Analytics team, familiarity with database design (SQL/NoSQL) and data pipelines is highly valued.Engineering Best Practices: Experience with Cloud platforms, RESTful APIs, and DevOps basics.Leadership Potential: Proven track record of mentoring junior colleagues, leading small project squads, or acting as a technical point of contact.
Why Join SGInnovate?Impact: Work at the intersection of Deep Tech, Data, and the startup ecosystem.Growth: A rare opportunity to act as a "2IC" (Second-in-Command) for a multi-disciplinary team covering Product, Data, and Strategy.Autonomy: Shape the engineering culture and team structure of a high-visibility platform.
If the above sounds like you & your dream job, send us your CV at recruitment@sginnovate.com and let's do a coffee chat.We regret that only shortlisted candidates will be notified. By submitting an application or your resume to us, you are consenting to the collection and use of the submitted personally identifiable data. We collect and use personal data (e.g. name, address, telephone number and email address) submitted by you for evaluating job applications, processing information requests, and internal record-keeping of our communications with you. Further information on our Data Protection & Privacy Policy can be found at Privacy & Cookies Policy | SGInnovate.
About SGInnovate:SGInnovate is a Deep Tech ecosystem builder and investor, backed by the Singapore Government. Our expertise and approach combine investments, talent development and community-building to catalyse the translation of emerging technologies into tomorrow’s opportunities. Through our flagship Deep Tech Central platform, we connect individuals, founders and companies to specialised resources and opportunities across all technological domains and stages of growth. Our portfolio of emerging tech startups comprises some of the most promising companies leading the commercialisation of research developed from Singapore’s RIE ecosystem. Connect with us at www.sginnovate.com.
Team:Our Learning Team plays a pivotal role in upskilling and reskilling talent in the Deep Tech Ecosystem. By collaborating with industry experts, we design cutting-edge learning strategies, leadership programs, and data-driven insights to empower professionals. Our initiatives cater not only to individuals looking to build a career in deep tech but also to organizations seeking skilled talent. Through impactful, engaging, and forward-thinking programs, we enable continuous growth and development in the emerging tech landscape.
Think of us as the Learning Centre of Excellence for the next generation of deep tech professionals and the startups and organizations that need them. If you have a passion for strategic HR, workforce development, and talent enablement, and thrive in a fast-paced startup environment, we’d love to hear from you!
Responsibilities:
1.Learning Partner and Alumni ManagementIdentify, source, and onboard high-quality Learning Partners (e.g., Subject Matter Experts, Training Providers, Institutes of Higher Learning).Develop and maintain strong relationships with Learning Partners to ensure alignment with industry needs and engage the alumni community.Assess Learning Partner performance and ensure adherence to established standards.Build industry networks to gain insights into emerging technology skill gaps.
2. Upskilling & Reskilling Tech TalentMonitor industry trends and analyse their impact on workforce skills and learning needs.Collaborate with Learning Partners to design and execute learning initiatives such as masterclasses, e-learning programs, and workshops.Work with the marketing team to drive participation in upskilling and reskilling programs.Analyze qualitative and quantitative user data to measure the effectiveness of learning initiatives and ensure alignment with business objectives.
3. Operations & Learning AdministrationImplement efficient record-keeping and database management processes.Manage logistics and resource arrangements for learning programs.Oversee the execution of learning administration processes.Track and analyze program take-up and assess impact.Develop and maintain a learning calendar that aligns with business objectives and workforce demand analysis.
4. Other duties as assigned to support the success of the team
Requirements:A Diploma/ Degree with relevant experience in Learning and Development and/or Talent Management.Strong verbal and written communication skills.Excellent organizational skills, attention to detail, and the ability to prioritize multiple tasks and deadlines.Strong stakeholder engagement and relationship management abilities.A growth mindset with a passion for continuous learning and adaptability to change.A proactive, can-do attitude with a drive for innovation and improvement.Proficiency in Microsoft Excel, PowerPoint, Tableau, and Web Conferencing Tools for training sessions.Experience managing a Learning Management System (LMS) is a plus!
If the above sounds like you & your dream job, send us your CV at recruitment@sginnovate.com, and let's do a coffee chat.
We regret that only shortlisted candidates will be notified. By submitting an application or your resume to us, you are consenting to the collection and use of the submitted personally identifiable data. We collect and use personal data (e.g. name, address, telephone number and email address) submitted by you for evaluating job applications, processing information requests, and internal record-keeping of our communications with you. Further information on our Data Protection & Privacy Policy can be found at Privacy & Cookies Policy | SGInnovate.
This project is with Krosslinker, a startup supported by SGInnovate under the PowerX Programme.
PowerX is a 12-months traineeship programme designed to enable and create Deep Tech career opportunities for working professionals, combining bespoke training and industry experience.
Company descriptionKrosslinker is an advanced material company founded by a team of scientists turned entrepreneurs. Krosslinker applies material chemistry to innovate and develop aerogel thermal insulation material for various applications - including but not limited to paints, coatings, cold-chain biopharmaceutical packaging, industrial and construction industry. With their transformative platform technology for fabrication, aerogels can now be produced 3x faster compared to the traditional fabrication methods, with lowest energy consumption and reduced carbon footprint.
Project DescriptionKrosslinker is seeking a technically grounded and hands-on Application & Technical BD Engineer to bridge their R&D, manufacturing, and customer deployment efforts. This role is ideal for an engineer who wants to apply core material science and thermal engineering knowledge to real-world industrial and sustainability problems, while also contributing to early-stage technical business development and technical sales efforts.
Key ResponsibilitiesAs an Application & Technical BD Engineer, you will play a critical role in translating aerogel material innovations into commercial product solutions. You’ll work at the interface of technology development and customer applications, helping drive technical validation, product optimization, and performance benchmarking of our coatings and packaging systems in real-world settings.
In addition, you will support technical business development activities by preparing technical proposals, assisting in customer trials, and communicating product value during commercial engagements.
Develop experimental plans, pilot protocols, and application testing frameworks to assess product performance in simulated and field conditionsInterface with customers to understand technical constraints and performance requirements across use cases such as:Passive cool paints for heat stressed infrastructureCold-chain packaging of temperature-sensitive goodsHigh temperature coatings for industrial process for thermal managementTranslate application-level needs into material and system-level design inputs for the R&D teamAnalyze thermal performance, durability, and failure data, and iterate product design accordinglyDevelop product documentation such as technical datasheets, thermal simulation models, and application notesSupport business development and commercial discussions with technical feasibility analyses and application prototypingCollaborate with the commercial team to prepare technical inputs for proposals, presentations, and customer engagements, ensuring our solutions are well-positioned against customer needsParticipate in customer demos and pilot trials, helping to showcase product performance and value
Preferred Background & SkillsBachelor’s or Master’s degree in Materials Science, Chemical Engineering, Mechanical Engineering, or related disciplinesUnderstanding of heat transfer and thermodynamicsExperience in cold-chain packaging, thermal insulation, building materials, or functional coatings preferredExposure to customer-facing roles, technical support, or solution engineering is a strong plusExperience in customer engagement, proposal preparation, or business development for technical products is highly valuedAbility to communicate technical concepts persuasively in a commercial contextCuriosity to dive deep into both material-level innovation and system-level performanceComfortable working in cross-functional teams across R&D, product, and commercial teamsStrong documentation and communication skills for both technical and non-technical stakeholdersAmbitious, confident, curious and decisive amidst ambiguity and uncertaintyEnjoy the energy, impact, steep learning curves and fast pace of startups Believe that awesome things are MADE to happen
Scope shall not be limited to the above. It may encompass other related tasks needed for the project/role assigned.
SGInnovate Internship Programme
About SGInnovate:At SGInnovate, we build and scale Deep Tech startups into companies with global impact. We believe that hard global problems can be solved using Deep Tech, and Singapore, where we are based, is uniquely positioned to realise Deep Tech innovations that can tackle these challenges. Our Deep Tech Nexus Strategy is focused on adding tangible value to the Deep Tech startup ecosystem in two key areas – development of Human Capital and deployment of Investment Capital. With the support of our partners and co-investors, we back entrepreneurial scientists through equity-based investments, access to talent and business-building advice. Our efforts are prioritised around emerging technologies such as Artificial Intelligence, Autonomous Tech, MedTech and Quantum Tech, which represent impactful and scalable answers to global challenges. SGInnovate is a private-limited company wholly owned by the Singapore Government. For more information, please visit www.sginnovate.com.
We are looking for interns who can start internship immediately.
All available positions are published on our career page (https://www.sginnovate.com/careers) and the current available roles:
1) Intern, Talent Programme (Human Health Potential, Power X, Summation)2) Intern, Learning3) Intern, Communications & Content4) Intern, Events5) Intern, Marketing6) Intern, UI/UX7) Intern, Data Analytics8) Intern, Ecosystem Readiness Level (ERL)9) Intern, Investments Operations10) Intern, IT
Minimum Commitment: 12 weeks (3 months) full-time preferred.
Please send your resume to recruitment@sginnovate.com, with the role/s you’re applying for as the subject of the email.
We regret that only shortlisted candidates will be notified. By submitting an application or your resume to us, you are consenting to the collection and use of the submitted personally identifiable data. We collect and use personal data (e.g. name, address, telephone number and email address) submitted by you for evaluating job applications, processing information requests, and internal record-keeping of our communications with you. Further information on our Data Protection & Privacy Policy can be found at Privacy & Cookies Policy | SGInnovate
This role is posted on behalf of Chemlex, a startup supported by SGInnovate.
BackgroundChemLex, founded by an interdisciplinary team in 2022, focuses on the disruption of chemical synthesis via its proprietary end-to-end high-throughput fully-automated platform powered by AI algorithms. Compared to traditional chemical synthesis via manual operations, our robotic platform not only improves the efficiency of chemical synthesis but also reduces cost and provides significant ESG benefit via our quantitative green chemistry system. Through this innovative platform ChemLex provides chemical synthesis services to global customers in the pharmaceutical, and other chemical industries. We are seeking motivated scientists, engineers and support staff to help establish a new R&D and production facility in Singapore which will house our fully-automated platform. We want to hear from enthusiastic applicants who have an interest in AI and automation and are energised by the idea of working in a start-up environment.
About the roleWe are looking for an Electrical Engineer to work at our new automated R&D and production facility in Singapore. As a new business in Singapore the right candidate will have the opportunity to grow as the company does, working at the forefront of AI & automation in the pharmaceutical and chemical synthesis industry.
The Electrical Engineer will be responsible for the operation and maintenance of all automated hardware on site, as well as the design and installation of new systems. As a fast-paced, disruptive business, the ideal candidate will be flexible and agile, able to problem solve effectively and quickly.
Key responsibilities
Design overall electrical solutions and select electrical components.Develop and debug PLC programs, design and debug HMI, assemble and debug electromechanical systems, and perform network communication debugging.Design and produce electrical control cabinet drawings.Oversee system installation, commissioning, and preparation of technical documents and related drawings.Communicate with electrical system suppliers on technical matters.
Necessary qualifications and qualities
Bachelor’s degree or above in Control, Electrical Engineering, Automation, or a related field.At least 3 years of experience in electrical design.Proficient in using design tools such as AutoCAD and EPLAN.Strong knowledge of servo control, stepper motor control, and familiarity with robotic motion control.Proficient in PLC programming and hardware, with independent development and design capabilities. Familiar with motor, sensor, and other automation component selection and application.Strong verbal and written communication skills, along with good teamwork and collaboration abilities.Fluency in English speaking, reading and writing.Willingness to travel internationally for training.
Interested applicants may apply directly to DTC at:https://central.sginnovate.com/hub/marketplace/openings/3fbf8fba-c391-4299-8ea3-1f568fdc8282
This role is posted on behalf of Resaro.AI, a startup supported by SGInnovate.
BackgroundResaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance. About the Role We are looking for an AI Scientist with a deep foundation in Machine Learning and a passion for the frontiers of Reinforcement Learning. This is a 12-month contract position. You will be responsible for building a robust framework to stress-test and audit Reinforcement Learning systems, making sure they are fit for purpose and safe to be deployed. We value strong technical ability and real world experience and there will be room to solve challenging problems and adopt cutting edge technology into business applications.
Job scopeYOU WILLImplement Reinforcement Learning Evaluation: Execute a dedicated work plan to build frameworks that evaluate the performance, safety, and alignment of RL agents.Build Uncertainty-Aware Tools: Use Bayesian ML models (GPs, BNNs) to create metrics for model confidence and risk.Develop Testing Infrastructure: Design and set up the debugging and automated testing frameworks required to evaluate non-deterministic systems.Execute Technical Evaluations: Perform "red-team" tests and benchmarks on models usingTrust Region methods (PPO) and RL from Human Feedback (RLHF).Master the RL Stack: Work across the entire stack, from environment interfacing to policy optimization, with the opportunity to grow into Multi-Agent RL (MARL) technologies.
YOU ARE ABLE TOExecute with Precision: Take high-level theoretical designs and turn them into clean, production-ready code.Think from First Principles: Use your technical background to solve challenging problems from the ground up.Collaborate & Learn: Work effectively under senior mentorship to adopt new research into business applications.Navigate Uncertainty: Thrive in a fast-paced environment where the mission of AI safety is paramount.
YOU HAVEMastery of the ML Stack: Strong proficiency in Python, NumPy, and PyTorch.Theoretical Foundation: A background in ML theory, Mathematics, or Physics.Bayesian Knowledge: Experience with Bayesian ML models (e.g., Gaussian Processes, Bayesian Neural Networks).RL Specialization: Practical experience or familiarity with Trust Region methods (PPO) and RL from Human Feedback (RLHF).Engineering Rigor: Proven ability in debugging and setting up automated testing frameworks.
NICE TO HAVEKnowledge of Multi-Agent RL (MARL) technology.Interest in applied research on the safe and responsible use of AI.
ABOUT USResaro is a global AI Assurance company, pioneering the field of AI testing and evaluation. We are a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust.
Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams.
Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/1522b5ab-0c8f-442f-863c-5227a1d6f3e2
This role is posted on behalf of Nanolumi, a startup supported by SGInnovate.
BackgroundNanolumi is a deep-tech startup pioneering advanced optical solutions for imaging, authentication, and counterfeit protection. Our flagship platform, Reyal™, combines chemistry, optics, and cloud encryption to deliver secure authentication, real-time supply chain visibility, and actionable insights. Trusted by governments and global businesses, Reyal protects brands, revenue, and consumers. Recently, we partnered with Changi Airport Group to verify renewable diesel made from used cooking oil (https://www.channelnewsasia.com/watch/changi-airport-using-renewable-diesel-made-used-cooking-oil-5302861) — a powerful example of building trust while advancing sustainability.
Job scopeRole OverviewWe’re looking for a Full-Stack Software Engineer with understanding of AI to design, build, and ship real products. This role sits at the intersection of full-stack software engineering, applied machine learning, and product execution. You will own end-to-end implementation of web and mobile systems that integrate and serve machine learning models, transform raw data into actionable insights, and embed AI-powered capabilities directly into business workflows. This is not a pure MLOps role, not an ML research role, and not a traditional web developer role. The focus is on shipping production-grade products with ML-powered features that solve real business problems. Your Role & ImpactDesign and build robust end-to-end systems for web and mobile applications, from front end to backend services and APIs.Integrate, serve, and monitor machine learning models within production software systems.Design and implement interactive dashboards and data visualizations that convert raw data and model outputs into clear, actionable insights.Embed ML-driven features directly into existing business workflows, improving daily operations and decision-making.Own implementation from system design through deployment and iteration, with a strong bias toward execution.Provide technical direction and full ownership of the implementation roadmap to solve critical business problems.Collaborate closely with product, data, and business teams to translate ambiguous requirements into scalable software solutions. Key ResponsibilitiesBuild and ship robust, production-ready end-to-end systems for web and mobile applications across frontend, backend, APIs, and data layers.Deploy and integrate ML models into live systems, including serving, inference, and performance monitoring.Develop analytics dashboards and internal tools that surface insights clearly to technical and non-technical users.Ensure systems are reliable, scalable, and maintainable in real-world environments.Iterate quickly based on user feedback and business needs.
Who We’re Looking ForA curious, driven engineer passionate about emerging technologiesA problem-solver who thrives in complex, ambiguous environmentsSomeone who values shipping real products over theoretical perfection
Must Have RequirementsBachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field.Strong full-stack software engineering experience with proven production delivery.Frontend experience with React, Angular, or Vue.js.Backend experience with Django (or equivalent frameworks).Mobile application development experience for iOS and/or Android (Objective-C, Kotlin, Java; Xcode, Android Studio).Solid understanding of how ML models are deployed, served, and monitored in production environments.Ability to translate business problems into practical, scalable technical solutionsComfortable working in ambiguous, fast-moving environments with high ownership.
Nice to Have RequirementsExperience with cloud infrastructure and DevOps (AWS, Azure, GCP; CI/CD; containers; IaC).Exposure to MLOps tooling, model monitoring, or inference optimization.Skilled in data processing, analysis, and visualization, including sparse datasetsKnowledge of relational and non-relational databases and schema design.Familiarity with software testing practices (unit, integration, UAT).
Interested applicants may apply directly to DTC: https://central.sginnovate.com/hub/marketplace/openings/103ba1f0-4b6c-4ee6-b4ff-087e7f919040
About SGInnovate:SGInnovate is a Deep Tech ecosystem builder and investor, backed by the Singapore Government. Our expertise and approach combine investments, talent development and community-building to catalyse the translation of emerging technologies into tomorrow’s opportunities. Through our flagship Deep Tech Central platform, we connect individuals, founders and companies to specialised resources and opportunities across all technological domains and stages of growth. Our portfolio of emerging tech startups comprises some of the most promising companies leading the commercialisation of research developed from Singapore’s RIE ecosystem. Connect with us at www.sginnovate.com.
Introduction of the teamGreat talents are needed for startups to grow. The People team designs and implements strategies targeted at addressing talent challenges tech startups face. We have a range of engagement activities which we drive, to build meaningful connections with these individuals, they can be intellectually stimulating, inspiring and most of all, fun to be at. Our work involves a lot of creativity, thoroughness and perseverance as we have a myriad of activities going on daily - from pipeline building strategies to leadership capability development programmes.
We are looking for a highly motivated individual to support the team in market trends research, event planning and recruitment operations. We aim to pipeline and match talent with high-potential Deep Tech startups in the fields of emerging technologies such as Artificial Intelligence, Cybersecurity, Biotech, Robotics, Quantum Computing and more.
As a Talent intern, you will be responsible in supporting the team in a variety of research, planning and operational matters, ensuring a smooth execution of our Talent Initiatives.
Job Responsibilities:Research and identify potential talent outreach channels to key clusters, institutions, and talent pools within relevant ecosystems, locally and overseas.Assist in planning, organizing, and executing talent outreach events (career fairs, open houses, campus talks, networking sessions), including venue booking, marketing ideation, vendor liaison, and event setup.Support outreach to universities, partners, and professional communities to drive event participation.Support the building of pipeline of qualified talent for active and future hiring needs.Assist with talent acquisition activities including candidate outreach, management screening and shortlisting for the talent programme.Research and identify potential candidates through platforms such as LinkedIn, GitHub, industry forums, and talent databases.Support talent marketing related activities.Assist in ad-hoc work tasks as assigned.
RequirementsCurrent undergraduate or graduate student in Human Resources, Business, Communications, or related fields.Interest in recruitment, talent acquisition, or HR as a career pathway.Strong research and analytical skills with attention to detail.Good event planning skillsComfortable with outreach and initiating conversations with new contacts.Proactive, resilient, and able to work independently.Excellent written and verbal communication skills.
This role is posted on behalf of Innowave Tech, a startup supported by SGInnovate.
About Innowave Tech Singapore Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.
Job scopeRoles & ResponsibilitiesWe are seeking Senior Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.
Your Role and ImpactAs our first Senior Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.
What You’ll DoSelect and manage on-premises technologies suitable for secure and efficient operations.Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.Ensure secure, maintainable, and scalable deployment of data infrastructure.Define and enforce best practices in data governance, privacy, and access control.Collaboration & Deployment.
What We’re Looking ForEducational & Background:Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.Only Singaporean or Singapore PR can apply due to project requirement.
Technical Expertise:3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.Proven track record of building scalable data systems from ground up in a startup environment.Proficiency in Python and/or Java for data pipeline development.Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).Experience designing and maintaining SQL and NoSQL databases.Experience building and operating data lakes and data catalog.Familiarity with containerization (Docker), version control (Git), and CI/CD practices.
Soft Skills:Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.Excellent problem-solving and debugging abilities.Ability to balance engineering tradeoffs.
Bonus Skills:Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).Familiarity with AI/ML pipelines and tools (e.g., MLflow).Knowledge in vector databases and LLM data infrastructure.Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).
What we Offer• A leading role in cutting-edge AI projects within the semiconductor industry.• The opportunity to work with an learn from experts in the field of AI and data science.• A dynamic, innovative, and supportive work environment.• Competitive salary and benefits package.• Career growth opportunities in a fast-paces technology company.
Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/a5001226-0f45-4a8b-86a6-71f95457deb0
