Job description
PRINCIPLE RESPONSIBILITIES:

1. AI/ML Platform Development
Implement and maintain components of the centralized enterprise AI/ML platform, including model serving, inference APIs, and shared ML libraries.
Build and operate robust, production-grade ML pipelines covering data ingestion, feature engineering, model training, deployment, and inference.
Contribute to the development of shared feature stores, model registries, and inference services used by multiple product teams.

2. MLOps & Model Lifecycle
Develop and maintain CI/CD pipelines for ML model training, evaluation, and deployment.
Implement automated model monitoring, drift detection, and alerting mechanisms.
Build tooling to support model versioning, lineage tracking, and rollback capabilities.

3. Performance & Reliability Engineering
Optimize inference pipelines for latency, throughput, and resource efficiency.
Contribute to scalability improvements to handle growing model counts and inference request volumes.
Investigate and resolve production issues in the AI/ML platform.

4.



Reusability & Inner-Sourcing
Develop well-documented, reusable ML components and libraries for consumption by product
engineering teams.
Actively participate in and contribute to the inner-source AI/ML asset ecosystem.
Write technical documentation, runbooks, and integration guides for shared services.

5. Collaboration & Engineering Excellence
Work closely with data scientists, ML engineers, and product architects to translate model requirements
into production implementations.
Participate in architectural and code reviews, upholding high standards for quality, security, and
maintainability.
Mentor junior engineers on AI/ML engineering best practices.

REQUIRED KNOWLEDGE, SKILLS AND EXPERIENCE:

Experience and Expertise

5+ years of software engineering experience, with at least 3 years focused on building and operating AI/ML systems in production.
Demonstrated experience building and maintaining ML pipelines and mo

📌 Senior Engineer AI/ML (Bengaluru)
🏢 Rakuten Symphony
📍 Bengaluru