Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML)
Gartner (company site, opens in a new tab)8+ yrsGurugramOn-siteDirect career pageEst. 30–50 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and deliver advanced AI and ML solutions transforming structured and unstructured data into actionable business insights.
- Own high-impact programs that improve business outcomes such as engagement, retention, and cost efficiency through innovative AI technologies including Agentic AI, Generative AI, and RAG pipelines.
- Mentor data science teams and enforce best practices around model lifecycle, evaluation, responsible AI, and governance frameworks.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field from reputed institution.
- 8+ years overall experience in data science/AI/ML roles; 6+ years hands-on experience applying ML/DL, NLP, and LLMs to real-world business problems.
- Expertise in Python, Agentic AI, RAG pipelines, LLM customization, prompt engineering, and experience with vector databases and cloud platforms (AWS/Azure/GCP).
- Experience analyzing and building scalable solutions on large-scale unstructured text data including knowledge graphs, embeddings, and using ML/DL frameworks such as TensorFlow or PyTorch.
Ideal Candidate Profile
- Experienced leader skilled in managing and delivering cross-functional AI programs that translate business goals into measurable results.
- Strong applied expertise with advanced AI techniques including text analytics, knowledge retrieval, and responsible AI governance.
- Proficient in technical leadership and mentoring within fast-paced, milestone-driven environments focused on emerging AI technologies and practical business impact.