Sr. Software Development Engineer

Location: Bengaluru

Key Responsibilities
End-to-End ML System Development
Design, build, and maintain the full ML lifecycle from data ingestion and feature computation to model training, serving, and monitoring.
Develop low-latency, high-throughput serving systems with effective caching strategies.
Build stream processing pipelines for real-time feature computation powering dynamic content personalization.
MLOps & Operational Excellence
Establish best practices using MLflow for experiment tracking, model versioning, and deployment automation.
Monitor technical health and model quality metrics using tools such as Grafana, Prometheus, and Cloudwatch.
Implement automated remediation systems to handle faults in resources, data streams, or model responses.
Experimentation & Optimization
Create advanced experimentation frameworks enabling rapid A/B testing of ML algorithms.
Scale and optimize training and serving of ML models, including specialized solutions for embeddings and high-dimensional features.
Collaboration & Project Delivery
Collaborate with Product Managers and cross-functional teams to understand business requirements and deploy production-grade ML solutions.
Take full ownership of code, design, and project delivery, ensuring quality, scalability, and timely completion.