As a Senior ML Ops Engineer, you'll lead the operations of AI and machine learning workloads. Your expertise will ensure the smooth deployment and management of models at an enterprise scale.
In this role, you'll be at the forefront of managing AI and machine learning operations. Your primary responsibility will be to ensure that production workloads run smoothly and efficiently. You'll work closely with data scientists and software engineers to oversee the entire model lifecycle, from development to deployment and monitoring. This position is ideal for someone who thrives in a fast-paced environment and has a strong background in MLOps and site reliability engineering.
Key responsibilities include: • Leading the MLOps team in implementing best practices for model management • Collaborating with cross-functional teams to enhance AI solutions • Monitoring system performance and reliability to ensure optimal operation • Developing strategies for scaling AI workloads in a cloud environment
To succeed in this role, you should have extensive experience in MLOps and cloud operations, particularly with enterprise-level AI applications. Strong problem-solving skills and the ability to work collaboratively are essential. If you have a passion for AI and a desire to lead innovative projects, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.