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Tier-1 brand, mid-level popular ML role in Gurgaon with broad GenAI requirements increases applicant competition.
Role requires specialized ML/GenAI expertise, making cross-industry transitions more limited without similar AI experience.
Explicit 6–8 years requirement plus mandatory GenAI/ML stack and cloud/CICD expertise enforces strict shortlisting.
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Design, develop, and deploy machine learning, Generative AI, and Retrieval-Augmented Generation (RAG) solutions in production environments.
Fine-tune, evaluate Large Language Models (LLMs), and develop prompt engineering strategies with measurable monitoring of model performance and drift.
Collaborate with cross-functional teams to deliver AI-driven features and contribute to AI-powered system architecture design.
6–8 years of professional experience in data science or related fields.
Advanced proficiency in Python and experience with ML/AI tools including LangChain/LlamaIndex, Scikit-learn, PyTorch/TensorFlow, HuggingFace/OpenAI APIs.
Experience designing, building, and optimizing RAG pipelines and working with proprietary and open-source LLMs and vector databases.
Experience with SQL, cloud platforms (AWS/Azure/GCP), CI/CD for ML deployments, and model tracking tools (MLflow preferred).
Senior-level data scientist with strong experience in AI/ML production deployment and architecture design involving Generation AI and RAG techniques.
Familiarity with scalable ML pipelines, prompt engineering, large model fine-tuning, and model evaluation frameworks.
Experience in regulated or technical domains (legal, regulatory, publishing) and knowledge of MLOps or multi-agent system frameworks is a plus.