Role & responsibilities

- Build and lead the organization's AI, Data Science, and Analytics function from the ground up.

- Identify, prioritize, and deliver high-impact AI use cases such as demand forecasting, pricing optimization, production yield improvement, predictive maintenance, and supply chain optimization.

- Design, develop, and deploy AI/ML, Generative AI, RAG, and Computer Vision solutions for manufacturing and business operations.

- Establish ML Ops best practices including model deployment, monitoring, governance, version control, and lifecycle management.

- Partner closely with CXOs, business leaders, and external consultants to accelerate enterprise-wide digital transformation.

- Lead and mentor a high-performing team of data scientists, ML engineers, and analysts.

- Manage global stakeholders, vendors,



and cross-functional teams to ensure successful AI adoption and business value realization.

Preferred candidate profile

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, Mathematics, or related disciplines.

- Advanced specialization in AI/ML is preferred.

- 10-15+ years of experience in Data Science, AI, Advanced Analytics, or Digital Transformation.

- Proven experience building and scaling AI/Data Science functions within manufacturing, industrial, FMCG, consumer goods, or related sectors.

- Robust hands-on experience in Machine Learning, Predictive Analytics, Deep Learning, Generative AI, RAG, and Computer Vision.

📌 Hiring AI/ML Engineer - Vadodara - Work from Office
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📍 Vadodara