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Mid-level ML role, Bangalore metro, broad skillset and generalist title increases applicant competition.
Core ML skills are transferable, but Databricks/Microsoft Fabric and agentic model experience increase industry specificity.
Explicit 5+ years requirement plus mandatory Databricks, Fabric and ML expertise makes shortlisting high.
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Develop, optimize, and productionize ML models using SQL, Python, and statistical methods on modern data platforms like Databricks and Microsoft Fabric.
Drive end-to-end ML workflows including data processing at scale, feature engineering, model evaluation, and deployment with automation and monitoring.
Deliver actionable insights and support autonomous agentic solutions for APAC stakeholders, collaborating across teams and mentoring junior analysts.
Bachelor’s degree minimum in Data Science, Statistics, Computer Science, or related field; Master’s preferred.
Minimum 5 years of experience in data and machine learning roles with end-to-end project delivery.
Proven expertise with Databricks, Microsoft Fabric, and Power BI for platform engineering and model administration.
Must be able to demonstrate technical skills in SQL, Python, Data Modeling, Statistical Foundations, and ML algorithms during interview.
Experienced in deploying scalable ML solutions incorporating agentic development and predictive analytics in multi-regional environments.
Comfortable navigating complex technical platforms (Databricks, Microsoft Fabric) and automating workflows with CI/CD and monitoring.
Able to communicate complex statistical and ML concepts clearly to both technical and non-technical stakeholders, aligning insights with business objectives.