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Popular ML/data scientist title, Pune metro location, and broad Databricks/Spark/AWS requirements raise candidate density.
Applied ML, cloud, and data engineering skills are highly transferable across industries.
Requires production ML experience and specific Databricks/Spark/AWS skills, increasing filter strictness.
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Develop and deploy predictive and recommendation models to enhance product intelligence and support data-driven decisions.
Build and maintain end-to-end analytics pipelines on AWS and Databricks including data ingestion, feature engineering, model training, and evaluation.
Collaborate with product managers, engineering, and data engineering teams to improve model effectiveness and ensure solutions meet governance, transparency, and security standards.
Experience with AWS, Databricks, Spark, and cloud-native services for scalable analytics and model deployment.
Proven ability in designing, developing, and deploying predictive analytics models and recommendation systems.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to mentor junior team members and promote best practices in analytics and machine learning.
Experienced in building scalable analytics pipelines and deploying ML models in production environments.
Strong collaboration skills with cross-functional teams including product management and engineering.
Experience in implementing governance, transparency, and explainability standards in analytics solutions.