Data Scientist - Generative AI Specialist

Job Title: Data Scientist - Generative AI Specialist

Location: Noida, India

Job Type: Full-Time

Experience Required: 3+ years in Data Science with a strong focus on Generative AI

Budget: Up to 22 LPA

Notice Period: Immediate

About the Role

We are looking for an experienced Data Scientist - Generative AI Specialist to design, develop, and optimize cutting-edge AI solutions. The ideal candidate will have hands-on expertise in Generative AI, Agentic AI, LLMs, and advanced NLP, along with experience deploying AI models at scale in enterprise environments.

Key Responsibilities

• Build, fine-tune, and deploy Generative AI and LLM -based solutions.
• Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, and semantic search.
• Develop and manage Knowledge Graphs to enhance reasoning and context.
• Apply Prompt Engineering best practices to improve AI output quality.
• Work with Azure AI ecosystem - Azure OpenAI, Cognitive Services, Azure ML.
• Leverage LangChain and other Agentic AI orchestration frameworks for intelligent automation.
• Utilize Hugging Face for model training, customization, and deployment.
• Integrate and optimize AI models using FastAPI , Databricks, and AWS services.
• Manage MLOps pipelines using CI/CD, MLflow, and DevOps tools.
• Work with vector databases ( Faiss, Redis ) for storage and retrieval of embeddings.
• Troubleshoot, debug, and improve AI systems for performance and reliability.

Required Skills Experience

• 3+ years of Data Science experience, with a focus on Generative AI, Agentic AI, LLMs, and NLP.
• Strong Python programming skills for AI application development.
• Expertise in RAG , Knowledge Graphs , Prompt Engineering .
• Proficiency with Azure OpenAI , Cognitive Services, Azure ML.
• Hands-on experience with LangChain , Hugging Face, and vector DBs (Faiss, Redis).
• Familiarity with FastAPI , Databricks, AWS, MLflow.
• Solid background in MLOps , CI/CD pipelines, and AI deployment optimization.