AI/ML Engineer
Tasks
- Build AI backend services
- Build and deploy LLM-based GenAI applications
- Design and implement agentic and multi-agent systems
- Develop RAG pipelines
- Develop and integrate chat UIs and dashboards
- Document intelligence solutions
- Ensure performance, security, scalability, Responsible AI compliance
- Productionize, deploy, and monitor AI systems
- Use GenAI frameworks
- Work with multiple LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | API Design | AWS | Agentic Systems | Azure | Azure ML | CI/CD | CSS | Chroma | Deep learning | Docker | Embeddings | Faiss | FastAPI | Flask | GCP | GenAI | HTML | JavaScript | Kubernetes | LLMs | MCP | ML | MLflow | Milvus | NLP | Pinecone | Prompt engineering | Python | RAG Architectures | REST | React | SageMaker | Streamlit | Vector Databases | Vertex AI | Weaviate | WebSockets
Education
Bachelor's | Master's | PhD
Roles
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