- Singapore
SATS Ltd. Hiring! Full Time Senior AI Engineer (Production GenAI and ML Systems) in - Ricebowl
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Job Description
Responsibilities
Job Description
We are hiring a Senior AI Engineer in our AI Centre of Excellence (COE). This role is responsible for building and scaling production-grade AI/ML, GenAI, Simulation, Search systems. This role bridges the gap between data science and engineering by ensuring models are deployed, monitored, and maintained reliably in real-world environments.
ML System Engineering
We are hiring a Senior AI Engineer in our AI Centre of Excellence (COE). This role is responsible for building and scaling production-grade AI/ML, GenAI, Simulation, Search systems. This role bridges the gap between data science and engineering by ensuring models are deployed, monitored, and maintained reliably in real-world environments.
ML System Engineering
- Design and implement scalable ML pipelines (batch & real-time)
- Build model serving infrastructure using APIs and microservices
- Optimize inference performance and latency
- Implement CI/CD pipelines for ML workflows
- Manage model versioning, monitoring, and retraining pipelines
- Ensure reproducibility and reliability of ML systems
- Integrate ML systems with enterprise data platforms
- Collaborate with AI CoE teams on platform capabilities
- Enable self-service ML deployment capabilities
- Provide reusable building blocks for AI teams
- Enable rapid experimentation and deployment
- Collaborate with AI/ML teams to accelerate GenAI adoption
- Build and maintain RAG pipelines and LLM orchestration frameworks
- Develop reusable GenAI services and APIs
- Enable multi-agent and agentic workflows
- Implement scalable model serving infrastructure (vLLM, Triton, APIs)
- Manage vector databases and embedding pipelines
- Optimize performance and cost of LLM systems
- Evaluate emerging GenAI tools and frameworks
- Drive adoption of best practices in LLMOps
- Work closely with data scientists to productionize models
- Partner with platform teams for scalability and performance
- Bachelor / MSC / PHD in Computer Science, Mathematics or related field.
- Ongoing commitment to training and professional development in AIML, GenAI, Aviation Domain, Cargo handling, Ground handling milestones, Ground Freight and Food solutions.
- Minimally 6 to 10 years in ML engineering or software engineering.
- Strong Python + FastAPI.
- Strong expertise in: Docker, Kubernetes, MLflow / Kubeflow, CI/CD pipelines.
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