Senior ML Engineer - AI Platform & Agents
Tasks
- Build agentic AI framework with AWS Bedrock AgentCore
- Continuously improve AI tools in production
- Define AI infrastructure for LLM and agentic systems
- Develop dataset pipelines for tuning and retrieval
- Integrate LLMs using fine tuning prompt tuning and RAG
- Monitor and debug deployed models
- Preprocess data with cleaning and feature engineering
- Select modeling approach for business use cases
- Train evaluate and deploy LLM systems
- Train evaluate and deploy machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agent workflows | Airflow | Amazon Bedrock | Amazon Bedrock AgentCore | Amplitude | Bedrock AgentCore | CI/CD | ChartMogul | Data Preprocessing | Data Transformation | Data cleaning | Deep learning | Feature Engineering | Fine Tuning | Google Analytics | Langchain | Langfuse | Langgraph | Learning algorithms | MLOps | MLflow | Machine Learning | Machine learning algorithms | Model Monitoring | Multi-Agent | Multi-agent workflows | NumPy | Pandas | PostgreSQL | Prompt engineering | Pydantic | Python | Retrieval-Augmented Generation | Snowflake | Statistical Methods | Tableau | Tool use
Education
N/A
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