Data Science Practitioner

Role Overview: You will be responsible for formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. Your primary focus will be to measure and justify the values of AI/ML based solutions. As a Data Science Practitioner, you will design, develop, and deploy Python-based applications leveraging Generative AI models, LLMs, and AI-powered APIs for enterprise and product use cases. Key Responsibilities: - Develop AI-powered applications integrating LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) via APIs and SDKs - Fine-tune and deploy custom models using Hugging Face Transformers, LangChain, or Haystack - Implement prompt engineering and retrieval-augmented generation (RAG) pipelines - Build vector search integrations with Pinecone, Weaviate, FAISS, Milvus - Design ingestion pipelines for structured/unstructured data using Pandas, PySpark, or Dask - Integrate AI features into backend APIs using FastAPI, Flask, or Django - Implement embeddings generation, semantic search, and context injection - Optimize model serving with ONNX, TensorRT, or quantization techniques - Deploy on cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI) or containerized environments - Build CI/CD pipelines for AI apps with GitHub Actions, Jenkins, or Azure DevOps Qualification Required: - Minimum 5 years of experience in Data Science - Educational qualification of 15 years full time education Additional Information: - This position is based at the Pune office.,