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Mid-level role, popular Data Scientist title, and Pune metro location increase competition.
ML/AI and recommender skills transfer across industries, though automotive domain knowledge adds moderate specialization.
Explicit 5+ years requirement plus mandatory ML, LLM, recommender and MLOps skills enforce strict filters.
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Design, develop, deploy, and scale machine learning models and AI solutions including recommender systems and generative AI (LLMs and LVMs).
Collaborate with Data Engineering and ML Engineering teams on data pipelines, model deployment, and CI/CD integration.
Implement and monitor ML model lifecycle management, ensuring responsible AI practices including fairness, transparency, and performance monitoring.
5+ years of professional experience in Data Science or Machine Learning roles.
Mandatory programming skills in Python and proficiency with ML libraries such as Scikit-learn, TensorFlow, PyTorch.
Experience with ML platforms like Azure ML, AWS SageMaker, or GCP Vertex AI and working knowledge of scalable ML pipeline design.
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
Expertise in building and deploying end-to-end machine learning models with emphasis on recommender systems and generative AI solutions (LLM & LVM).
Experience working in cross-functional teams alongside Data Engineering and ML Engineering for data pipeline design and model deployment at scale.
Proficient in ML platform ecosystems (Azure preferred), containerization (Docker, Kubernetes), and model monitoring/governance enforcing Responsible AI.