Sr. AI/ML Engineer
Tasks
- Build backend services with databases and vector stores
- Build data-driven applications
- Chunk and prepare data for chatbots
- Collaborate with frontend developers to integrate APIs
- Debug and optimize for performance reliability scalability
- Deploy Python services to cloud
- Develop Python APIs
- Develop data based chatbots using LLMs
- Evaluate model response quality
- Fine-tune LLMs
- Generate embeddings
- Implement retrieval-augmented generation
- Integrate external APIs
- Optimize LLM performance
- Perform prompt engineering
- Process and preprocess data
- Write API tests
- Write integration tests
- Write unit tests
Perks/Benefits
Skills/Tech-stack
API Testing | CI/CD | Cloud deployment | Data Preprocessing | Data Processing | Docker | Embedding Generation | FastAPI | Fine Tuning | Hugging Face | Hugging Face API | LLM | LLM Evaluation | Langchain | Langgraph | Microservices | NoSQL | NumPy | OpenAI API | Pandas | Prompt engineering | Pytest | Python | RAG | REST API | Retrieval-Augmented Generation | SQL | Vector Database
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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