Opportunity Description
SUMMARY:
ESSENTIAL SKILLS :
- Large Language Models (LLMs), RAG systems, multi agent frameworks (LangChain, LangGraph, GAIA)
- Python (Advanced), ML engineering (TensorFlow, PyTorch, Scikit learn)
- Vector Databases (FAISS, Pinecone, Elasticsearch/OpenSearch)
- Prompt Engineering & Context Orchestration
- MLOps (SageMaker, ML Pipelines, GitHub Actions, CI/CD)
- AWS AI/ML stack: SageMaker, Lambda, Step Functions, API Gateway, DynamoDB, S3
- Data Engineering: Spark, Kafka, SQL/NoSQL, ETL/ELT
- Docker, Kubernetes (EKS), Terraform
- Cloud Observability: CloudWatch, X Ray, logging/monitoring
- API & Microservices development
- Experience with Confluence, JIRA, and creating technical documentation
- Understanding of data governance, AI risk, security, compliance, and IAM
- Basic experience/understanding of AWS Components (in order of importance): ...
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