Associate Consultant_AI/ML Engineer
Tasks
- Build and deploy generative AI solutions with large language models
- Build secure and scalable REST APIs with FastAPI
- Containerize and deploy applications with Docker
- Design and develop enterprise AI applications using Python
- Develop agentic AI workflows for autonomous reasoning and task execution
- Develop prompt engineering strategies for enterprise use cases
- Follow secure coding DevOps and MLOps best practices
- Implement retrieval-augmented generation solutions
- Implement vector search for semantic search and knowledge retrieval
- Integrate AI applications with enterprise systems and cloud platforms
- Optimize large language model responses for accuracy latency and cost
- Perform code reviews testing troubleshooting and production support
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Planning | AI Planning and Orchestration | AI Safety | Agent architectures | Agents SDK | Amazon Web Services | Anthropic Claude | Async Programming | Autogen | Azure OpenAI | CI/CD | Cloud platform | CrewAI | Docker | Docker Compose | Embedding Models | FastAPI | Git | GitHub | GitLab | Google Cloud | Google Cloud Platform | Google Gemini | JWT Authentication | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llama | Microsoft Azure | Mistral | MongoDB | Multi-Agent | Multi-agent architectures | Multiprocessing | Multithreading | MySQL | OAuth | Object-Oriented | Object-oriented programming | OpenAI | OpenAI Agents | OpenAI Agents SDK | PostgreSQL | Prompt engineering | Pydantic | Python | Retrieval-Augmented Generation | SQL | Semantic Kernel | Uvicorn | Vector Search | Web Services | WebSockets
Education
N/A
Roles
AI | AI Engineer | Engineer
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