Software Engineer AI/ML Ops at BlackLine in Pleasanton, CA

Job Description

About this kind of role

What a Software Engineer AI/ML Ops usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in AI/ML Ops build and maintain infrastructure and tools to support the machine learning lifecycle. This includes automating model deployment, monitoring model performance, and managing data pipelines. They work closely with data scientists and machine learning engineers to ensure models are reliable, scalable, and efficient in production. Responsibilities often involve troubleshooting issues and optimizing systems for performance and cost.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python), and DevOps practices is generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for machine learning, who enjoy problem-solving and automating complex processes, are a good fit.

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