Senior Staff (DevOps) Machine Learning Engineer

About this kind of role

What a Senior Staff (DevOps) Machine Learning Engineer usually does. The employer's own details are in the listing.

Typically does: This role focuses on building and maintaining the infrastructure and tooling to support machine learning model development, deployment, and monitoring. Responsibilities include automating processes, ensuring scalability and reliability of ML systems, and collaborating with data scientists and software engineers. A Senior Staff Engineer in this area will also likely lead projects and mentor other engineers. They are expected to contribute to architectural decisions and drive improvements across the ML platform.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), CI/CD pipelines, and experience with machine learning frameworks (TensorFlow, PyTorch) is generally required.

Good fit for: Individuals with strong engineering fundamentals, a passion for automation, and a desire to build robust and scalable machine learning infrastructure will typically thrive in this position.