Data Scientist – Generative AI Specialist

7 days ago

uttar pradesh, India Vlaunchu Full time

Job Title: Data Scientist – Generative AI SpecialistLocation: Noida, IndiaJob Type: Full-TimeExperience Required: 3+ years in Data Science with a strong focus on Generative AIBudget: Up to 22 LPANotice Period: ImmediateAbout the RoleWe 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 ResponsibilitiesBuild, 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 & Experience3+ 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.

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