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

📌 Senior Engineer (Bengaluru)
🏢 Rakuten Symphony
📍 Bengaluru