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Mid-level ML title, Pune metro, broad MLOps/AWS requirements, and recognizable multinational brand drive high competition.
Core ML and MLOps skills are broadly transferable across industries.
Explicit six-year minimum plus required MLOps, AWS, and production deployment skills enforce strict shortlisting.
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Design, develop, and deploy machine learning models to support AI, advanced analytics, and business intelligence in customer-facing software and services.
Build scalable ML pipelines and integrate ML solutions into production systems collaborating with data scientists, software engineers, and business stakeholders.
Design, develop, and maintain robust big data pipelines and scalable ETL packages aligned to business use cases and data demands.
Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, Science & Technology, or equivalent (Master’s preferred).
Minimum 6 years hands-on experience with AWS and/or other cloud providers and analytics platforms.
Experience with MLOps tools for model versioning, deployment, and monitoring; familiarity with AWS services like Sagemaker, Glue, Athena, Lambda.
Proven experience integrating ML models into production, working with APIs, and applying CI/CD practices for ML workflows.
Experienced in virtual team settings and capable of managing multiple tasks under tight deadlines.
Strong problem-solving skills with stakeholder engagement skills at all levels, demonstrated by effective communication in English.
Collaborative operating style evidenced by working closely with cross-functional teams including data scientists, engineers, and business stakeholders.