Job Title: AI Engineer Intern (Spring 2027 Attachment Program) Company: Magellan Technology Research Institute (MTRI) Job Category: Machine Learning Roles & Responsibilities: Roles \& Responsibilities * Assist in design, prototype, and evaluate AI\-based solutions using modern frameworks and techniques * Contribute to the development of systems involving agentic workflows, RAG pipelines, LLMs, and machine learning models * Explore innovative approaches that can lead to production deployment and/or publication\-ready outcomes * Present findings, implementations, and recommendations clearly to both technical and non\-technical stakeholders Work Location: Singapore, Singapore Availability: Full time

Job Title: ML Researcher Company: Nex Job Category: Machine Learning Roles & Responsibilities: Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business\-related activities. Location: Hong Kong or Remote Type: Full Time The Role As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction. The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research. This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting\-edge innovation. What You’ll Do * Develop novel ML models and algorithms for computational perception and interaction * Design and execute rapid experiments to validate new ideas and methods * Explore advancements in computer vision, audio processing, sensor fusion, or related domains * Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems * Measure and track experimentation velocity, the number and quality of validated experiments per quarter * Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead * Document research findings and communicate technical progress to the broader team Work Location: Singapore Availability: Full time

Job Title: Data Science Internship Company: Shift Technology Job Category: Machine Learning Roles & Responsibilities: Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance\-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Learn more at www.shift\-technology.com Shift Technology : Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk \- driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results. Your key responsibilities will include🧑‍💻: AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.* At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company,* without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non\-merit criteria.* Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift\-technology.com and we will work with you to meet your accessibility needs.* Please be aware of scammers and only trust correspondence that comes from emails ending in "shift\-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.* Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology. Work Location: Singapore Availability: Full time

Job Title: Research Assistant (XAI) Company: National University of Singapore Job Category: Machine Learning Roles & Responsibilities: Faculty/Department\-Level Unit: Mechanical Engineering Job Description This position focuses on advancing the mathematical and computational foundations of interpretable algorithms for dynamical systems and explainable AI. The successful candidate will develop new methods for modelling, simulating, and understanding complex dynamical processes with a focus on Earth system science, and connections to physics\-informed learning, and interpretable machine intelligence. Work Location: Singapore, Singapore Availability: Full time

Job Title: Dataiku Data Scientist (1 Year Contract) Company: Rhino Partners Job Category: Machine Learning Roles & Responsibilities: Rhino Partners is looking for Dataiku Data Scientists to develop, implement and operationalise data science and machine learning solutions using the Dataiku platform. The role involves working across the data science lifecycle, from data preparation and model development through to deployment and optimisation. Key Responsibilities * Design, develop and implement data science and machine learning solutions using Dataiku DSS. * Build and maintain data preparation, feature engineering and machine learning workflows. * Perform exploratory data analysis, statistical modelling and predictive analytics. * Develop, train, evaluate and optimise machine learning models using Dataiku and Python. * Integrate datasets from relational databases, data warehouses and other enterprise sources. * Develop reusable data science pipelines and automate analytical workflows. * Support model deployment, monitoring, retraining and ongoing optimisation. * Implement data validation, model evaluation and reproducibility practices. * Collaborate with data engineers, business stakeholders and technical teams to translate business problems into analytical solutions. * Document models, methodologies and technical implementations. Work Location: Singapore Availability: Full time

Job Title: Robotics Software Engineer Company: Dyson Job Category: Machine Learning Roles & Responsibilities: About The Role You are a software engineer with 1–2 years of relevant industry experience in machine learning, computer vision, or software development, working within an agile, cross\-functional team. You will apply your practical engineering experience to develop intelligent features that help Dyson deliver innovative products for our customers. Key Responsibilities * Design, develop, test, and deploy well\-defined machine learning, computer vision, or data\-driven features across embedded, cloud, and app platforms * Work with machine learning specialists, data operations teams, UX/UI designers, and software engineers to solve engineering problems and deliver agreed outcomes * Develop and maintain data pipelines and workflows for collecting, processing, and using sensor data * Analyze user and device data to support feature development and improve models or algorithms * Integrate model outputs into user\-facing interfaces in collaboration with UX/UI and application teams * Contribute to proof\-of\-concept activities, including data collection, annotation, feature bring\-up, and evaluation * Deploy models and evaluate performance across hardware and software platforms, particularly edge devices * Develop and use well\-defined APIs and interfaces for machine learning and data\-driven features * Identify and raise technical risks, blockers, and quality concerns promptly, working with experienced engineers on complex issues * Build prototype demonstrators and carry out structured evaluations of new ideas * Contribute to the maintenance and improvement of CI/CD infrastructure for model and software delivery * Participate actively in code reviews, technical discussions, documentation, and knowledge\-sharing activities * Maintain a strong focus on product quality, performance, user experience, and reliable feature delivery Work Location: Singapore, Singapore Availability: Full time

Job Title: Data Engineer (ML/AI) - Monee Company: Monee Job Category: Machine Learning Roles & Responsibilities: In this role, you will work closely with Data Scientists, Risk Policy, and Engineering teams to help productionize machine learning models, maintain large\-scale data pipelines, and support real\-time decision systems. You will also have the opportunity to explore how AI technologies can improve model monitoring, data quality, and developer productivity across the risk team. This role is ideal for engineers who enjoy working at the intersection of data engineering, machine learning systems, and platform infrastructure. Job Description Model Deployment \& Inference * Support the deployment of machine learning models for real\-time and batch risk decision systems * Help build and maintain infrastructure for model serving and distributed inference * Assist in optimizing model performance, latency, and system reliability Data Pipeline \& Feature Engineering * Build and maintain data pipelines supporting model training and inference * Work with data scientists to ensure feature consistency between offline and online environments * Develop and improve ETL / ELT workflows for large\-scale data processing Monitoring \& Observability * Help build monitoring systems for data quality, feature drift, and model performance * Investigate pipeline failures and assist in troubleshooting production issues * Improve observability across data pipelines and model services AI\-assisted Platform Improvements * Explore ways to use AI to improve engineering workflows, such as: + pipeline diagnostics + data quality validation + model monitoring analysis + developer productivity tools Collaboration * Work closely with Data Scientists, Risk Policy, and Engineering teams * Support ML systems powering risk decisioning across multiple markets Work Location: Singapore, Singapore Availability: Full time

Job Title: Data Scientist Company: Micron Technology Job Category: Machine Learning Roles & Responsibilities: Responsibilities And Tasks * Product Quality (PQ) Predictive Solutions: Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes. * Agentic AI and LLM Development: + Contribute to the design and implementation of multi\-agent systems for PQ workflows, including code generation, automated troubleshooting, and process optimization. + Work with retrieval\-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM\-based applications. + Assist in implementing tool\-using capabilities, function calling, and agent memory systems. * Software Engineering and Productionalization: + Develop maintainable code and analytical pipelines suitable for high\-volume manufacturing environments. + Optimize for performance, latency, and token efficiency. + Collaborate with senior team members on testing, deployment, and monitoring. * Strong verbal and written communication skills, with the ability to explain complex analytical results clearly. * Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport\sg@micron.com Work Location: Singapore, Singapore Availability: Full time

Job Title: Senior AI Engineer Company: Allen & Gledhill LLP Job Category: Machine Learning Roles & Responsibilities: Job Description: This role will be part of the Information Systems team, focusing on the development and deployment of intelligent applications and Large Language Model (LLM) solutions. Key responsibilities: * Design, develop, and deploy intelligent applications and LLM\-based solutions. * Maintain, test, and debug existing code; refactoring code to ensure readability and maintainability. * Perform full\-stack development using Python, React, and TypeScript. * Deploy and manage applications on both on\-premise and cloud platforms, utilizing Kubernetes for orchestration. * Integrate machine learning models into production environments. * Ensure security best practices are embedded in the application lifecycle. * Collaborate with cross\-functional teams to define and implement innovative solutions. * Keep abreast of current and emerging trends in artificial intelligence Work Location: Singapore, Singapore Availability: Full time

Job Title: AI Engineer, SMAI Company: Micron Technology Job Category: Machine Learning Roles & Responsibilities: AI Engineer, SMAI Job Summary Join Micron Technology at a defining moment in our AI and smart manufacturing transformation. As a Full\-Stack AI Engineer, you will contribute to the design, development, deployment, and support of AI\-powered applications that improve manufacturing operations across Micron's global network of fabs and assembly/test sites. You will work closely with data scientists, software engineers, and manufacturing stakeholders to build scalable AI solutions, web applications, APIs, and automation tools that enable data\-driven decision\-making and autonomous operations. Main Responsibilities * Design and build end\-to\-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. * Develop responsive front\-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type\-safe development and test coverage practices. * Support development and implementation of machine learning and AI models for structured and unstructured data. * Support development of analytics and AI solutions that improve manufacturing and operational decision\-making. * Support integration of LLMs and agentic AI capabilities into manufacturing and engineering workflows. * Support integration of robotics platforms, AMRs, tool automation systems, control systems, and the Micron MES ecosystem. * Develop and maintain containerized applications using Docker and deploy solutions through Kubernetes or OpenShift environments. * Work with data platforms and modeling environments to support scalable AI application development. Other Responsibilities * Contribute to CI/CD pipelines and automated software release processes using tools such as GitHub Actions, while supporting monitoring, drift detection, model evaluation, and feedback loop implementation for production AI applications. * Apply Responsible AI practices, including input validation, prompt\-injection prevention, PII/IP protection, model governance, and audit logging. * Support application and model optimization efforts to improve performance, reliability, scalability, and cost efficiency. * Support testing, debugging, technical documentation, installation, and maintenance activities for AI and software solutions. * Integrate AI\-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with organizational standards, legal requirements, and governance policies. * Contribute to a culture of continuous improvement by identifying, testing, and sharing AI\-enabled enhancements within one's scope of work. Embody Micron's Core Values * People – Respect, develop, and empower others. * Innovation – Drive continuous improvement and breakthrough thinking. * Tenacity – Show grit and determination. * Collaboration – Build trust and foster teamwork. * Customer Focus – Deliver excellence and value. * Speed – Act with purpose and set the pace. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport\sg@micron.com Work Location: Singapore, Singapore Availability: Full time