GenAI/ML Engineers
Tasks
- Build AI data pipelines
- Deploy AI models on AWS
- Design machine learning models
- Develop APIs for AI services
- Develop generative AI applications
- Ensure responsible AI validation
- Evaluate machine learning models
- Implement machine learning solutions
- Implement retrieval-augmented generation
- Implement vector search
- Improve code quality with AI tools
- Manage AI model governance
- Monitor model performance
- Provide production support
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Gateway | AWS | AWS CDK | AWS Lambda | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon S3 | Amazon SageMaker | C# | CI/CD | CloudFormation | Data Modeling | Deep learning | Docker | Embeddings | Faiss | FastAPI | Feature Engineering | Flask | IAM | Infrastructure as Code | Java | Langchain | Llamaindex | Machine Learning | Model Evaluation | Model Monitoring | OAuth 2 | OAuth 2 0 | OpenSearch | Pinecone | Prompt engineering | Python | RAG | SQL | Secure API | Secure API Design | Terraform | Vector Databases | “as-code”
Education
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