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Tier-1 brand, mid-level ML role, and Bangalore metro drive high candidate competition.
Core ML skills are transferable but product integration and business-domain experience increase fit sensitivity.
Explicit 5+ years plus mandatory Python, SQL, cloud, and ML skills create high filtering strictness.
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Lead end-to-end data science projects including data collection, model development, deployment, and performance monitoring across AB InBev markets.
Build and standardize Python-based ML pipelines and collaborate on analytics roadmaps with senior management.
Mentor junior data scientists and integrate AI-powered solutions into business workflows with stakeholder management.
Minimum 5 years of hands-on experience building, deploying, and maintaining machine learning models in production.
Mandatory technical skills: Advanced Python programming, intermediate to advanced SQL, Git, and experience with any cloud platform (Azure, AWS, GCP, or Databricks).
Bachelor's or master's degree in Computer Science, Information Systems, AI, Machine Learning, Data Science, Economics or related field.
Work Experience Required: 5+ years in data science or analytics role.
Experienced in developing scalable AI/ML solutions with end-to-end ownership including deployment and monitoring in real-world scenarios.
Ability to translate complex analytical insights into actionable business strategies for non-technical stakeholders.
Familiarity with software engineering principles such as OOP in Python, collaborative development using Git, and proven mentorship capability.