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.

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

Masters degree in Computer Science Machine Learning Statistics Physics Mathematics or a related field.

• 4 6 years of hands-on experience in machine learning data science or data engineering.

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