AI/ML Engineer
Tasks
- Build AI backend services and integrate AI APIs
- 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
- Develop chat UIs copilots and dashboards
- Ensure performance security scalability and responsible AI compliance
- Productionize, deploy, and monitor AI systems
- Work with LLM providers and models
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AWS | Agentic Systems | Autogen | Azure | Azure Machine Learning | Azure OpenAI | CI/CD | CSS | Chroma | CrewAI | Deep learning | Docker | Embeddings | Faiss | FastAPI | Flask | GCP | Google Gemini | HTML | JavaScript | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MCP | MLflow | Machine Learning | Milvus | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | Python | RAG | REST | React | SageMaker | Streamlit | Vector Databases | Vertex AI | Weaviate | WebSockets
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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