About the job
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
Requirements
- Python
- AWS Bedrock
- Amazon SageMaker
- LLMs
- AI/ML Techniques
Preferred Technologies
- Python
- AWS Bedrock
- Amazon SageMaker
- LLMs
- AI/ML Techniques
About the company
Zimetrics is a technology company focused on AI solutions and data-driven applications.
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