Lead Software Engineer - MLOps / ML Platform

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About this kind of role

What a Lead Software Engineer - MLOps / ML Platform usually does. The employer's own details are in the listing.

Typically does: A Lead Software Engineer specializing in MLOps or Machine Learning Platforms designs, builds, and maintains infrastructure and tools to support the machine learning lifecycle. This includes automating model training, deployment, and monitoring, as well as ensuring scalability and reliability. They often lead a team of engineers, providing technical guidance and mentorship while collaborating with data scientists and other stakeholders. Responsibilities frequently involve improving existing systems and researching new technologies to optimize machine learning workflows.

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

Good fit for: Individuals with strong software engineering fundamentals, a passion for machine learning, and excellent communication and leadership skills often thrive in this role.