Back
Strong employer brand, Bengaluru metro role, and broad ML skills attract many qualified applicants.
Core ML/MLOps skills transfer across industries, but packaging and supply-chain domain expertise is preferred.
Strict 12+ years requirement plus mandatory ML, MLOps, and enterprise deployment experience filters candidates heavily.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, deployment, and optimization of AI/ML, Deep Learning, Computer Vision, and Generative AI solutions for Packaging, Supply Chain, Logistics, and Engineering challenges.
Direct large-scale data gathering, processing, feature engineering, and build scalable data models and pipelines to support AI solutions.
Establish MLOps, model governance, monitoring, and continuous improvement to ensure reliable enterprise-scale AI/ML solution deployment.
Bachelor's or Master's degree in Data Science, Computer Science, AI, Engineering, Statistics, or related field.
12+ years of overall professional experience with at least 3+ years in Data Science, Machine Learning, AI, or Advanced Analytics.
Experience delivering enterprise-scale AI/ML solutions in production environments.
Position requires working onsite five days a week in India; visa sponsorship not available.
Strong domain expertise applying AI/ML to Packaging, Supply Chain, Logistics, Transportation, Procurement, or related industrial domains.
Experienced in leading cross-functional stakeholder engagements, translating business needs into scalable AI technical solutions with impact.
Knowledgeable in advanced AI technologies including LLMs, Agentic AI, NLP, and MLOps frameworks, and skilled in cloud platforms (Azure, AWS).