Ai Ml Engineer

AI Strategy & Business Impact

• Build enterprise AI and data science capability from 0 1 data platforms, governance, and adoption.
• Define and execute an AI roadmap aligned to business priorities (growth, cost, sustainability) and foster a data-driven decision-making culture.
• Deliver measurable ROI through high-impact use cases: pricing optimization, demand forecasting, manufacturing yield improvement, and supply chain optimization.

AI/ML Solution Delivery

• Architect, develop, and deploy production-grade ML models (predictive and prescriptive), GenAI and RAG applications, and computer vision solutions for quality inspection in glass manufacturing.
• Lead deployments using modern MLOps practices — model monitoring, versioning, CI/CD, and lifecycle management — preferably on Databricks.

Data Platform & Engineering

• Partner with IT to design scalable data pipelines, lakehouse architectures, and cloud-based AI platforms.
• Ensure data quality, governance, and security across systems.

Leadership & Collaboration

• Lead and mentor a high-performing data science team.
• Drive cross-functional programs spanning Manufacturing, Supply Chain, Commercial, Finance, and IT; partner with CXOs and external consultants on enterprise transformation.
• Enable global delivery with distributed teams and vendors across India and international business units.