Data Scientist, Platform AI Squad, Group Data Office (AVP/VP)
SGP-Head Office, Singapore
SGD 182K-252K (estimate) Executive-level Full Time
Tasks
- Build CI CD workflows for model testing and release
- Build multi agent orchestration frameworks
- Configure telemetry for latency token cost and drift monitoring
- Deploy automated evaluation pipelines for RAG and safety
- Deploy low latency LLM serving engines
- Design reusable enterprise agentic platform components
- Implement GPU capacity planning monitoring and budgeting
- Integrate foundation models with Amazon Bedrock and SageMaker AI
- Integrate function calling to databases vector stores and APIs
- Manage model versioning and metadata tracking
- Optimize LLM inference with KV cache and batching
- Package models into production microservices for REST and gRPC
- Provide MLOps operational support and incident resolution
- Provision multi tenant infrastructure on Kubernetes with Terraform and CloudFormation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudWatch | AWS CodePipeline | AWS IAM | Agent to Agent | Amazon Bedrock | Amazon EC2 | Amazon EKS | Amazon S3 | Amazon SageMaker | ArgoCD | Bedrock Guardrails | CI/CD | DeepEval | Docker | Git | GitHub Actions | GitLab CI | Helm | Jenkins | Kubernetes | Kubernetes EKS | Langchain | Langgraph | Llamaindex | MCP | ML model metadata tracking | ML model versioning | MLOps | MLflow | MLflow Model Registry | Metadata tracking | Model Context Protocol | Model Metadata Tracking | Model Registry | Model versioning | PrivateLink | Python | RAG | Ragas | Ray | SGLang | TensorRT-LLM | Terraform | Triton | VLLM
Education
Roles
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