Machine Learning Engineer

Summary

This role involves designing, implementing, and scaling production machine learning systems for high-throughput applications. The engineer will build scalable data ingestion and feature engineering pipelines, implement CI/CD pipelines for ML models, and monitor deployed models for drift and performance issues. The position requires 3–6 years of professional software engineering experience with at least 3 years specifically in production machine learning, proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), and hands-on experience with cloud infrastructure, MLOps platforms, and distributed systems.