Sr. Software Development Engineer – Machine Learning

Own code, design, and project delivery for core ML systems, ensuring high quality and timely completion

Build and evolve end-to-end ML lifecycle systems from data processing to model serving using frameworks like TensorFlow and PyTorch

Design monitoring systems for technical health and quality metrics

Create advanced experimentation frameworks enabling rapid A/B testing of algorithms

Design and develop low-latency, high-throughput serving systems with caching strategies

Implement MLOps best practices using MLflow for experiment tracking, model versioning, and deployment automation

Build stream processing pipelines for real-time feature computation

Scale and optimize training and serving of ML models, including embedding solutions

Collaborate with Product Managers and cross-functional teams to deploy software solutions that meet business objectives