Senior Machine Learning Engineer

Location: Pune, India

Department: Enterprise Data & Analytics Advanced Analytics Team

Employment Type: Full-time

About the Role:

We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions.

This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional teams in a dynamic global environment.

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• Design, build, test, deploy, and maintain machine learning and AI solutions across business domains.
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• Collaborate with data scientists, engineers, and product teams to deliver reliable, production-grade ML pipelines.
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• Develop data models, algorithms, and integrate them into enterprise-grade applications.
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• Ensure solutions are secure, compliant, and follow industry best practices.
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• Continuously improve ML products based on real-world performance metrics and feedback.
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• Participate in code reviews, solution design, and incident resolution.
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• Document technical designs and contribute to internal knowledge sharing.
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• Lead ML engineering practices, mentor junior team members, and support agile development activities such as sprint planning and retrospectives.
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Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field.

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• 4 6 years of hands-on experience in machine learning, data science, or data engineering.
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• Strong experience with AWS services: S3, DynamoDB, CloudFormation, CDK, Route53, AppFlow. AWS certifications are a plus.
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• Hands-on experience with Databricks : PySpark, MLFlow, Unity Catalog, orchestration workflows. Databricks certifications preferred.
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• Proficient in Python , SQL , and DBT .
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• Familiar with tools like GitHub/GitLab , Airflow , and Terraform .
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• Solid understanding of enterprise data (structured, unstructured, transactional, metadata) and integrations with systems like SAP ERP, Salesforce, and product data platforms.
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• Strong foundation in CI/CD, testing practices, and production-grade software development.
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• Experience with infrastructure-as-code, version control, and deployment automation.
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• Knowledge of data privacy, cybersecurity, and regulatory compliance.
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• Serve as the technical expert for ML engineering within the team.
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• Drive architecture and design improvements for scalability and efficiency.
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• Lead quality assurance activities, conduct code reviews, and ensure adherence to development standards.
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• Guide and mentor junior engineers and contribute to capability building.
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• Take on additional responsibilities such as Scrum Master or task force lead when needed.
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• Agile working methodology with tools such as Jira, Confluence, and draw.io.
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• Global, multi-cultural team focused on transparency, collaboration, and continuous learning.
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• Encouraged to be self-organized, courageous, and solutions-oriented.
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