Middle AI/ML Engineer (GenAI, AWS)
Tasks
- Build agent workflows
- Build and optimize ML models
- Build or integrate MCP servers
- Create technical specifications for AI execution
- Deploy and monitor models
- Design ML pipelines
- Detect model drift
- Implement CI/CD pipelines for ML
- Implement RAG systems
- Integrate or build agent frameworks
- Mentor junior engineers
- Monitor and evaluate agents
- Optimize model cost and performance
- Perform code reviews
- Track experiments with MLflow or W and B
- Use AI coding tools
- Write tested modular Python code
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS Lambda | AWS SageMaker | Amazon Bedrock | Amazon Bedrock Agents | Amazon Bedrock Knowledge Bases | Amazon ECR | Amazon ECS | Amazon S3 | Asynchronous programming | Bedrock Agents | CI/CD | Chroma | CloudFormation | Data Drift | Data Drift Detection | Deep learning | Docker | Drift Detection | Faiss | Knowledge bases | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Object-Oriented | Object-oriented programming | OpenSearch | Pandas | Pinecone | Prompt engineering | Python | RAG | SQL | Terraform | Transformers | Vector Databases | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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