Top Machine Learning Jobs in Singapore

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities for Walmart Connect’s sponsored search ad server. Build infrastructure, tooling, AI/ML frameworks, and distributed systems; conduct design reviews; drive software lifecycle activities; mentor engineers; influence architecture and technical decisions; and collaborate across teams to translate complex business needs into reliable, data-driven solutions.

Leads global AI-driven transformation across Wealth Operations, including platform implementations, operating model redesign, governance, model risk, regulatory approvals, stakeholder alignment, and workforce reskilling. Directs cross-functional, multi-jurisdictional teams and manages senior relationships across business, technology, risk, compliance, and operations. Establishes AI execution frameworks, supports audits and examinations, resolves escalations, and mentors transformation talent.

Participate in a trainee program focused on agentic automation and AI. Design, develop, test, deploy, and maintain RPA and AI-enabled solutions using UiPath, Blue Prism, Xceptor, and Microsoft technologies. Translate business requirements into technical designs, create workflows and integrations, perform testing, document solutions, troubleshoot issues, support deployments, and collaborate with analysts, project managers, engineers, and consultants.

Drives regional rollout, design, development, deployment, enhancement, and monitoring of GenAI chatbot and voicebot solutions. Builds guided conversations and foundational capabilities, maintains documentation, supports program initiatives, and partners with stakeholders and marketing teams on adoption campaigns. Requires end-to-end AI project delivery, change management, AI/ML and LLM knowledge, analytical ability, teamwork, and strong communication skills.

Lead and grow a team of CMP and BTG engineers to develop and transfer CMP/BTG process modules for 3D NAND. Drive process characterization, DOE-based optimization, process margin and manufacturability improvements, supplier partnerships, pilot ramp/yield support, and adoption of data analytics/AI for predictive modeling and process control.

Analyzes sales and distribution performance data to deliver forecasts, reports, dashboards, and actionable insights. Supports channel strategy, compensation analysis, KPI monitoring, and business decision-making. Builds automated reporting and AI-enabled analytics solutions using tools such as Qlik, Power BI, Python, and generative AI. Ensures data accuracy, security, governance, and validation while communicating findings to internal teams and external partners.

Conduct ML/DL research to develop predictive models from large market datasets, integrate models into systematic trading strategies, contribute to AI/ML libraries, and deploy production algo systems with P&L responsibility across FX, Rates, Commodities, and Credit.

Summer intern role building high-performance, large-data research platforms and web frameworks. Collaborate in small teams to create tools for trading strategies, applying distributed computing, NLP, and machine learning.

Owns ATE production test solutions for custom semiconductor products from early design through high-volume manufacturing. Responsibilities include test architecture, bring-up, test planning, characterization, yield and performance analysis, fault isolation, root-cause analysis, test margin development, and cross-functional collaboration with design, DFT, operations, reliability teams, and customers.

Develops automated test equipment solutions for custom semiconductor products from early design through high-volume manufacturing. Responsibilities include creating test plans, validating yield and reliability, developing screening methods, characterizing silicon variation, performing root-cause analysis, optimizing test margins and efficiency, and collaborating with design, DFT, operations, reliability teams, and customers.

Design technical solutions using Dow Jones data and services, support sales and implementation efforts, guide customers through integrations and proofs of concept, deliver API-focused demonstrations, answer technical questions, and provide product feedback to internal teams. The role requires customer-facing engineering experience, cloud data expertise, programming skills, and strong communication with technical and business stakeholders.

Design, implement, and deploy efficient adaptive machine learning systems that retrain or fine-tune models using production data. The role combines applied research with production engineering, including data strategy, model evaluation, online learning, reinforcement learning, observability, and real-world product development. The engineer will own data products, solve novel technical challenges, and collaborate closely with the founding team on research and product direction.

Develop AI, machine learning, data analytics, automation, and agentic AI solutions for global financial markets, supporting trading and sales teams. Responsibilities include predictive model development, exploratory analysis, data pipelines, dashboard creation, data integrity management, and analytics for financial products and clients. The role also evaluates new data science approaches, partners with business and operations teams, and leads junior team members.

Lead advanced data analytics and ML initiatives to improve yield, quality, and reliability for HBM products. Develop ML/DL models, build data infrastructure, integrate solutions into disposition workflows, mentor team members, and collaborate cross-functionally to optimize KPIs including quality, cost, cycle time, and scale.

Develop and deploy AI solutions including generative AI copilots, recommendations, RAG, and agentic AI systems. Build predictive and generative machine learning models using structured and unstructured data, apply advanced visualization and storytelling, and collaborate with business and technical teams on cloud, MLOps, and real-time data initiatives.

Leads consultative discovery and solution development for AspenTech customers across Oil & Gas, Chemicals, Power, Mining, and Food & Beverage industries. Partners with sales teams to identify business challenges, demonstrate software capabilities, develop value propositions, create proposals and scopes of work, and support opportunities through solution design and delivery. Requires strong industry, technical, analytical, communication, and consultative expertise, with substantial regional travel across APJ.

This role involves leading NAND technology integration, solving technology gaps, designing experiments, and driving technical innovation in memory solutions.

Support treasury financial controls, trade surveillance, internal control reviews, audit activities, project implementation, digital transformation, automation, and data analytics initiatives. The intern will use finance and technology skills to monitor controls, investigate trading activity, analyze datasets, and improve processes within Global Markets and Treasury Finance.

Design and deploy advanced process control, automation, and analytics solutions for semiconductor manufacturing. Collaborate with process teams to apply statistical analysis and machine learning, maintain global control applications, develop training, and integrate AI-assisted tools to improve yield, quality, and efficiency.

As a Customer Success Engineer, you will manage enterprise customer relationships, provide technical expertise, and drive integration and adoption of Deepgram's voice AI solutions, ensuring customer success and identifying growth opportunities.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Lead development of advanced dry etch processes for NAND technology, inventing plasma chemistries and equipment capabilities. Use AI/ML, analytics, and automation to accelerate process pathfinding, collaborate with integration and device teams, and drive manufacturability and yield improvements across semiconductor process domains.

Develop and deploy AI/ML and analytics solutions for Facilities Mechanical systems (HVAC, chillers, boilers, CDA, cleanroom air). Build predictive maintenance models, dashboards, digital twins, and automation to improve reliability, energy efficiency, and operational decision-making. Collaborate with controls, IT, and operations to integrate SCADA/BMS/PLC data, ensure data quality and governance, and drive digitalization of maintenance workflows while supporting change management in a 24/7 fab environment.

Lead and grow a team of diffusion and implant engineers to develop and transfer 3D NAND process modules. Drive process characterization, DOE-driven optimization, process monitoring/control, manufacturability, supplier partnerships, and adoption of data analytics/AI to improve yield, cost, and scalability while supporting pilot ramps and high-volume manufacturing.

Lead Fab10 electrical and control engineering for safe, reliable semiconductor facility operations. Manage team performance, HVAC/PDU/HV-MV-LV power systems, PLC/SCADA, predictive maintenance, asset management, and obsolescence strategies. Support capacity expansions, tool installs, contractor oversight, energy efficiency, and adoption of AI/ML and digital technologies to improve reliability and operational excellence.