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Tier-1 brand, popular Data Scientist title, mid-level experience, Bangalore metro, and broad skills increase competition.
Advanced ML/GenAI and healthcare governance needs make fit somewhat industry-sensitive but technically transferable.
Requires Master's from top university, 5+ years (preferably MBB/Big4), plus GenAI and MLOps expertise.
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Design, develop, and deploy end-to-end AI/ML solutions including Generative AI for significant business challenges in healthcare.
Translate business problems into validated data and modeling solutions and drive them through to production delivery and continuous improvement.
Provide technical leadership, mentor peers, and ensure best practices in MLOps, model evaluation, observability, and data governance compliance.
Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field from a top university.
5+ years of consultancy experience in data science, machine learning, or AI, preferably from MBB or Big 4 firms.
Strong programming skills in Python with experience in data science libraries (pandas, NumPy, scikit-learn), deep learning frameworks (PyTorch or TensorFlow), and GenAI toolkits (LangChain, LlamaIndex, or similar).
Practical experience with MLOps including CI/CD for models, model registries, experiment tracking (e.g., MLflow), and deployment on major cloud platforms (AWS, Azure).
Experienced in delivering production-grade AI/ML solutions from problem scoping to deployment and monitoring in healthcare or regulated environments.
Technically proficient with cross-functional collaboration skills to align AI solutions with complex business needs.
Demonstrates leadership in mentoring and promoting AI/ML best practices focusing on model robustness, reproducibility, and governance.