Machine Learning Engineer

Summary

This role owns end-to-end design, implementation, and scaling of production machine learning systems for enterprise applications. You will architect and deploy ML models using Python and PyTorch on AWS, build data pipelines with Apache Spark and SQL, optimize model serving with Docker and Kubernetes, and implement monitoring for data drift and performance regressions. The position requires 3–6 years of ML engineering experience, strong Python proficiency, hands-on deep learning framework experience (PyTorch or TensorFlow), and a proven track record deploying models to production on cloud platforms.