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Tier-1 brand, popular ML/Data Scientist role, and metro location increase applicant competition.
Strong automotive and manufacturing domain focus makes background transferability limited across industries.
Requires specialized ML/Agentic AI skills and automotive domain expertise, indicating stringent technical filters.
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Develop, validate, and deploy machine learning and AI models targeting automotive or manufacturing challenges such as predictive maintenance, quality analytics, and supply chain optimization.
Design and implement complete data science pipelines involving data ingestion, feature engineering, model training, evaluation, and deployment using cloud platforms (Azure/AWS/GCP).
Build and operationalize advanced Agentic AI systems including autonomous agents, multi-agent workflows, and LLM-based reasoning systems.
Strong expertise in statistical modeling, machine learning, AI, and emerging Agentic AI frameworks.
Experience applying statistical techniques like hypothesis testing, regression, and Bayesian methods on complex datasets.
Experience solving real-world automotive or manufacturing problems (e.g., predictive maintenance, quality analytics, connected vehicle use cases).
Work Experience Required: Not explicitly mentioned in the JD.
Experience working with time-series forecasting, anomaly detection, and predictive analytics in manufacturing or automotive domains.
Ability to collaborate effectively with data engineering, product, domain experts, and business stakeholders in a cross-functional setup.
Familiarity with interfacing IoT, telematics, MES, ERP, and connected vehicle platforms to generate data-driven insights.