Python Engineer (AI/ML)
Tasks
- Build RAG pipelines
- Build and integrate LLM powered chatbots and document QA
- Design develop and maintain Python based AI ML applications
- Develop REST APIs using FastAPI and Flask
- Handle prompt engineering for LLM workflows
- Implement ML pipelines for training evaluation and inference
- Integrate AI solutions with SQL databases
- Optimize model performance, latency, and cost
- Write clean, testable, and well-documented code
Perks/Benefits
- N/A
Skills/Tech-stack
CPU | Chroma | Cost Optimization | Data Preprocessing | Docker | Embeddings | Faiss | FastAPI | Flask | GPU | Intent detection | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Model Inference | Model Training | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | SQLAlchemy | Similarity Search | Test-Driven | Test-Driven Development | Vector Databases
Education
N/A
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