Senior ML Engineer (R14284)

About the role

The Machine Learning Platform team builds the software foundations that enable data scientists and machine learning engineers to develop, validate, deploy, and operate models safely and efficiently in production. In this role, you’ll lead complex platform work from business context through production outcomes, combining hands-on engineering, architectural judgment, production ownership, and mentorship.

What you'll do

• Lead the design, implementation, deployment, and operation of complex platform capabilities that support the machine-learning lifecycle
• Design scalable systems for model deployment and serving, feature computation, data validation, workflow orchestration, monitoring, and production support
• Build reusable platform components, standards, and automation while improving reliability, scalability, observability, and operational readiness across ML systems
• Partner with Data Science, Product, Risk, Fraud, and Engineering teams to translate ambiguous business needs into practical technical solutions
• Own significant technical initiatives end to end and lead complex production investigations—clarifying requirements, leading design, delivering safely

What you need

• 5–9 yrs of experience
• Machine learning
• Python
• SQL
• MLOps
• CI/CD
• Docker
• Any graduate

Good to have

• Spark
• AWS
• Databricks
• Kafka
• Java
• Kubernetes

What you get

• ₹1.7 L a year