Top AI Jobs in Singapore

Lead design and delivery of AI-powered automation, Copilot agents, advanced analytics, and monitoring solutions for global Healthcare Compliance. Translate business problems into scalable data-driven solutions, partner with governance and technology teams, and mentor stakeholders while implementing APIs, BI dashboards, process mining, and Cloud-based generative AI capabilities.

Design, train, evaluate and deploy machine learning and AI models. Build data pipelines, preprocess data, run EDA, optimise algorithms, deploy models to production (cloud/APIs/containers), monitor performance, document models, and collaborate with cross-functional teams on AI prototypes and production solutions.

Support field study logistics; conduct large-scale statistical and econometric analyses; design, implement and evaluate computational data pipelines for diverse sources; prepare peer-reviewed articles, technical reports and data visualizations; collaborate with international partners.

Conduct research on vector search and AI methods for sustainability. Develop quantitative sustainability indicators, AI-enabled monitoring frameworks, and data-driven ESG assessment tools. Build data collection/validation/visualization tools, design experiments and statistical models, ensure trustworthy AI, collaborate with multidisciplinary teams, and produce proposals and scientific publications.

Lead technical design, development, and deployment of data platforms, analytics, and AI solutions. Set architecture, standards, and governance; drive MLOps/DataOps practices, model governance, and integration (including robotics). Provide hands-on delivery, technical direction, and mentorship to ensure scalable, secure, and reusable AI capabilities.

Lead Data & AI engagements across India or Japan: design and deliver data pipelines, analytics, ML and generative-AI solutions; manage client relationships and project delivery; embed model governance, privacy, and explainability; mentor junior staff; and help grow business and localize CFGI accelerators and offerings.

Work on large-scale data: analyze datasets, build dashboards and scalable data pipelines, collaborate cross-functionally, and apply AI tools (LLMs, RAG, agents) to automate analysis and surface product insights. Complete a mentored, data-driven internship project and support operational and security analytics.

Lead design and implementation of OpenShift-based platform architectures, run workshops, deliver pre-sales and POC activities, migrate workloads, operationalize clusters with GitOps/service mesh/serverless, ensure observability, security, and scalability, mentor junior consultants, and contribute to internal playbooks and best practices across ASEAN customers.

Lead AI discovery engagements across APAC, facilitate workshops, assess and prioritise AI use cases, build adoption roadmaps, coordinate cross-functional teams, coach customers on agile/DevOps practices, and position Red Hat products to drive measurable AI adoption and outcomes.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

Build and deploy AI applications, collaborate with clients, solve technical issues, provide guidance, and ensure ethical standards in AI development.

The role involves designing, building, and deploying AI applications, particularly large language models, while leading teams and advising clients on AI solutions.

The AI Product Manager defines product strategies, collaborates with engineering and data teams, and oversees AI product development and performance evaluation.

The Responsible AI Specialist will develop AI governance standards, conduct risk assessments, engage stakeholders, and promote ethical AI practices across UOB.

Design, build, deploy, and operate ML/LLM-powered services for enterprise SaaS. Ship production-quality Python code, improve observability and performance, run experiments (A/B tests), analyze results, and collaborate cross-functionally to iterate on model behavior, prompting, retrieval, and orchestration strategies.

Support day-to-day operations, maintenance, and cost analysis for Tencent's overseas game services and platforms. Help ensure high availability of account storage systems via health checks, improve monitoring and alerting, and coordinate cross-functional teams to resolve operational issues.

Identify, engage, qualify, and set meetings with target prospects for the AI & LLM team focused on Greater China. Conduct outbound prospecting via cold calls, email, voicemails, and social media; use prospecting/research and enablement tools; collaborate with team to improve processes; stay current on industry trends; participate in ongoing training.

Design and deploy robotics AI solutions from simulation to real robots. Develop perception, sensor fusion, SLAM, planning, and edge-optimized ML models; integrate with ROS/ROS2 and NVIDIA robotics frameworks; optimize models for ONNX/TensorRT/JETSON; implement inference pipelines, monitoring, and reproducible training workflows; lead technical design, mentor engineers, and collaborate across hardware, firmware, and product teams.

Support AI-enabled seismic research by conducting fieldwork, acquiring and preprocessing seismic data, developing AI algorithms and pipelines for dispersion analysis, validating models, curating datasets, and producing technical documentation and publications.

Pre-sales technical expert who designs end-to-end AI solution architectures (GPU/compute, storage, networking, software, MLOps), builds proposals and BOMs, coordinates ATC proofs-of-concept, validates GPU designs with partners, and ensures feasible handoffs to delivery teams to advance deals.

Serve as the technical pre-sales architect for regional AI pods: design end-to-end AI solution architectures (GPU/compute, networking, storage, software, MLOps), create BOMs and sizing, coordinate ATC proofs-of-concept, validate designs with partners (NVIDIA, cloud, infrastructure vendors), and ensure clean handoff to delivery while enabling field teams and advancing deals.

Quota-carrying sales role that generates, qualifies, and closes AI opportunities across an assigned territory. Partners with field sales and AI partners to build pipeline, craft executive pitch decks/proposals, manage CRM and forecasting, and coordinate GTM resources to win AI product, infrastructure, and services deals.

Quota-carrying sales role to generate, qualify, and close enterprise AI opportunities. Partner with field teams, build pipelines, craft executive pitch decks, engage AI partners, and maintain CRM hygiene and forecasts.