ML Platform Engineer

Databricks is building the world's leading data and AI platform, and we're looking for passionate ML Platform Engineers to help us scale our ML infrastructure. You will be instrumental in building and maintaining the tools and systems that enable our internal teams and customers to develop, deploy, and manage machine learning models efficiently and reliably. Responsibilities: * Develop, deploy, and maintain robust and scalable ML infrastructure, including training, inference, and MLOps pipelines. * Collaborate with ML engineers and data scientists to understand their needs and provide best-in-class tooling and support. * Contribute to the design and implementation of Databricks' Machine Learning capabilities, integrating seamlessly with our lakehouse architecture. * Optimize ML workloads for performance, cost, and reliability. * Troubleshoot and resolve issues within the ML platform. Minimum Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. * 3+ years of experience in software engineering, with a focus on distributed systems, cloud platforms (AWS, Azure, GCP), or MLOps. * Proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Preferred Qualifications: * Experience building and managing ML platforms or MLOps tooling. * Familiarity with containerization technologies (Docker, Kubernetes). * Experience with data processing frameworks (e.g., Spark).