Gen AI DS Professional

2 - 6 years

12 - 16 Lacs

Posted:1 day ago| Platform: Naukri logo

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Full Time

Job Description

Job description
We are seeking an experienced Generative AI Data Scientist with a strong background in LLM training, prompt engineering, and agentic AI systems.
  • The ideal candidate will combine deep technical expertise with innovative thinking to design, train, and deploy cutting-edge AI solutions that drive business impact
  • You will work closely with cross-functional teams to implement and scale generative AI capabilities across the organization
  • LLM Development Optimization Fine-tune and optimize foundation models (e g, GPT, LLaMA, Claude, Mistral) for specific business and domain applications
  • Build scalable pipelines for model training, evaluation, and deployment
  • Conduct performance tuning, benchmarking, and continuous improvement of model accuracy and efficiency
  • Prompt Engineering Evaluation: Develop and refine advanced prompting strategies (structured, few-shot, chain-of-thought, tool-augmented prompts)
  • Design automated evaluation frameworks for response quality, consistency, and factual accuracy
  • Agentic AI System Design: Architect intelligent, autonomous, or semi-autonomous AI agents that can reason, plan, and execute tasks using contextual knowledge
  • Integrate external APIs, vector databases, and retrieval systems to enhance model reasoning and context handling
  • Data Strategy Engineering: Curate, preprocess, and manage large-scale datasets for generative AI model training and fine-tuning
  • Ensure data quality, ethical use, and compliance with data governance standards
  • Research Innovation: Stay up to date with advancements in LLMs, RAG, multi-agent systems, and multimodal AI
  • Prototype and experiment with emerging GenAI technologies to identify potential use cases and improvements
  • Bachelor or Master degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • Proficiency in Python, with strong knowledge of libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex
  • Hands-on experience in LLM fine-tuning, prompt design, RAG pipelines, and model evaluation
  • Familiarity with vector databases (e g, FAISS, Pinecone, Weaviate) and AI orchestration frameworks
  • Strong understanding of machine learning workflows, data pipelines, and model deployment (MLOps / LLMOps) on AWS, Azure, or GCP
  • Experience building or integrating agentic AI systems or multi-agent orchestration frameworks
  • Exposure to multimodal AI systems (text, image, and audio)
  • Knowledge of AI safety, interpretability,

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Information Technology and Services

Southborough

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