Senior Software Engineer, MLOps

About this kind of role

What a Senior Software Engineer, MLOps usually does. The employer's own details are in the listing.

Typically does: Designs, develops, tests, and maintains machine learning models and the infrastructure that supports them. This role focuses on automating and streamlining the machine learning lifecycle, from data ingestion to model deployment and monitoring. Senior Software Engineers in MLOps often collaborate with data scientists, DevOps engineers, and other stakeholders to ensure models are reliable, scalable, and performant in production. They troubleshoot issues, optimize performance, and implement best practices for machine learning operations.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (AWS, Azure, or Google Cloud), familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn), and knowledge of DevOps tools and practices (CI/CD, containerization) are generally required.

Good fit for: Individuals with a strong software engineering background and a passion for machine learning, who enjoy problem-solving and building robust, scalable systems, are a good fit.