0 years
0 Lacs
Posted:5 days ago|
Platform:
On-site
Full Time
Must Have:
- Strong proficiency in Python and Rest APIs
- Hands-on experience with AWS Bedrock (foundation models, prompt engineering, managed inference)
- Practical expertise in Amazon SageMaker (training, tuning, monitoring, JumpStart)
- Experience with commercial LLMs (eg. OpenAI GPT, Claude, Google Gemma) and open-source LLMs (eg. Llama, Qwen)
- Good understanding of AI/ML techniques (RAG, Embeddings etc.)
- Strong debugging, optimization skills
Good to Have:
- MLOps knowledge (SageMaker Pipelines, CI/CD for ML)
- Exposure to NoSQL (MongoDB, DynamoDB) and boto3/PyMongo
- Containerization (Docker, Kubernetes) for SageMaker custom containers
- Awareness of other AWS Managed Services
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pune, maharashtra, india
Experience: Not specified
Salary: Not disclosed
