Data Science | Machine Learning with MLP Ops | SRE

Hire It People - Austin, TX

Full-time - Mid Level

Austin, TX

Professional, Scientific, and Technical Services

About the position

The Data Science | Machine Learning with MLP Ops | SRE position is focused on managing the end-to-end machine learning lifecycle within an in-house Kubernetes cluster. The role requires expertise in Machine Learning Operations (MLOps) and aims to ensure the stability and availability of production services while fostering a culture of continuous improvement. The individual will collaborate closely with various teams to resolve production issues and will be responsible for incident resolution and documentation.

Responsibilities

• Support and analyze machine learning operations.
• Implement solutions for machine learning processes.
• Conduct testing of machine learning models and operations.

Requirements

• 8-10 years of experience in data science and machine learning operations.
• Strong expertise in Machine Learning Operations (MLOps).
• Proficient in Kubernetes (K8s) and experience with Kubeflow.
• Solid understanding of AI/ML concepts, Jupyter Notebook, and Jenkins.

Nice-to-haves

• Experience with incident resolution and maintaining production services.
• Ability to work in a team across different geographical locations.
• Familiarity with best practices for operations and documentation.

Benefits

• On-site work environment in Austin, TX.
• Opportunity for continuous learning and improvement.