About the Team
ML Team team plays a central role in shipping scalable and cost-effective data-science solutions that power products and business decisions across the board. The team builds and maintains a robust MLOps stack—including a centralized feature-store, auto-training frameworks, an in-house model serving system, and real-time monitoring tools. Beyond platform engineering, the team also develops standalone feature-extraction applications that serve as core IP and provide a distinct competitive edge in the industry. It’s a space where deep tech meets real-world impact, and where
infrastructure and innovation go hand in hand.
About the Role
As an MLE-2, you'll play a key role in building backend systems that are robust, cost-effective, and optimized for performance. This role requires robust problem-solving ability, technical expertise, and a mindset of continuous improvement. You’ll work closely with stakeholders, demonstrate high quality and consistency in code and reviews, and contribute to improving team standards through feedback and collaboration.
Must Haves




Proficiency in at least one of: Java, Python, Go, or Kotlin
Strong grasp of object-oriented design, design patterns, and data structures
Proven ability to design and implement algorithms for complex real-world problems
Experience in building backend systems focused on scalability, performance, robustness, and cost-efficiency
Skilled in troubleshooting and performance optimization of distributed systems
Consistent drive to improve, automate, and scale systems and tools
Strong coding practices, including design documentation, unit testing, peer reviews, and an agile mindset
Communicate effectively with peers, product managers, and cross-functional partners to ensure smooth delivery.
Demonstrated record of on-time delivery with a focus on output quality
Emphasis on observability—systems must be monitorable and maintainable
Minimum of 3 years of software development experience
Strong written and verbal c

📌 Machine learning engineer ii (Bengaluru)
🏢 Navi
📍 Bengaluru