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Mid-level ML role in Bangalore at a recognizable global brand with broad toolset requirements.
Core ML/data engineering skills transfer well, but Databricks and Agentic experience increase domain specificity.
Explicit 5+ years requirement plus mandatory Databricks, Fabric, SQL, Python and production ML skills.
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Own end-to-end development, validation, and production deployment of machine learning models for APAC business use cases using SQL, Python, Databricks, and Microsoft Fabric.
Design and optimize scalable data pipelines, feature engineering, and automated workflows supporting robust ML model monitoring and A/B testing on modern data platforms.
Collaborate with cross-functional stakeholders to translate statistical insights into actionable business outcomes and enable intelligent autonomous workflows via Agentic development.
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field; Master’s degree preferred.
5+ years of experience in machine learning, data science, or closely related roles with demonstrated independent delivery from development through production.
Proficiency with Databricks, Microsoft Fabric, SQL, Python, and Power BI is mandatory.
Must be capable of technical discussions covering SQL, Python, data modeling, ML algorithms, and statistical foundations during interviews.
Experienced ML engineer comfortable working in a large, cross-regional enterprise environment supporting APAC business units.
Proven ability to manage full ML lifecycle including model design, testing, deployment, monitoring, optimization, and automation using modern cloud-based data platforms.
Keen understanding of both classical and modern ML/statistics methods, augmented with knowledge of Agentic models, NLP, workflow automation, and CI/CD pipelines.