Data Scientist

Key Responsibilities

• Develop and deploy Generative AI and Machine Learning solutions
• Build AI-powered applications, chatbots, copilots, and automation tools
• Design and implement RAG pipelines, vector search, and prompt engineering techniques
• Train, fine-tune, evaluate, and optimize ML/LLM models
• Develop scalable APIs and integrate AI services with enterprise applications
• Work with structured and unstructured datasets for model training and analytics
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  Collaborate with Data Engineers, DevOps teams, and business stakeholders
• Monitor model performance, scalability, and reliability in production environments

Mandatory Skills

• Strong experience in Python programming
• Hands-on experience in Machine Learning and Deep Learning concepts
• Experience with LLMs and Generative AI frameworks
• Strong knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG)
• Experience with LangChain, LlamaIndex, Hugging Face, or OpenAI APIs
• Knowledge of Vector Databases such as Pinecone, FAISS, ChromaDB, or Weaviate
• Experience in TensorFlow, PyTorch, or Scikit-learn
• Knowledge of REST APIs, FastAPI, or Flask
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Good understanding of SQL/NoSQL databases