Senior ML Engineer - AI Platform & Agents
Tasks
- Apply fine tuning
- Apply prompt tuning
- Build agentic AI frameworks
- Build retrieval-augmented generation pipelines
- Define ML and AI infrastructure
- Evaluate AI models
- Improve model performance
- Monitor and debug deployed models
- Preprocess data
- Source and refine training datasets
- Support LLM integration
- Train and deploy LLM systems
- Train and deploy machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS Bedrock AgentCore | Agent Orchestration | Agent workflows | Airflow | Bedrock AgentCore | CI/CD | Fine Tuning | Langchain | Langfuse | Langgraph | MLOps | MLflow | Model Monitoring | Multi-Agent | Multi-agent workflows | NumPy | Pandas | PostgreSQL | Prompt Tuning | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Snowflake | Tool use
Education
N/A
Regions
Countries
States
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