AI/ML Engineer
Tasks
- Build AI backend services using FastAPI and Flask
- Build and deploy LLM based GenAI applications end to end
- Design and implement agentic and multi-agent systems
- Develop RAG pipelines and document intelligence solutions
- Ensure performance security scalability and responsible AI compliance
- Integrate chat UIs copilots and dashboards with AI APIs
- Productionize deploy and monitor AI systems on cloud platforms
- Use modern GenAI frameworks
- Work with multiple large language models
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AWS | Agentic Systems | Azure | Azure Machine Learning | CI/CD | CSS | Chroma | Deep learning | Docker | Embeddings | Faiss | FastAPI | Flask | Generative AI | Google Cloud | HTML | JavaScript | Kubernetes | Language Models | Language Processing | Large Language Models | MCP | MLflow | Machine Learning | Milvus | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | Python | REST API | React | Responsible AI | Retrieval-Augmented Generation | SageMaker | Scalability | Security | Streamlit | Vertex AI | Weaviate | WebSocket
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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