About the role
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.