Job opportunity for SRE with Machine Learning – Austin, TX Need local only

Hi ,

Please check the job description,

Title: SRE with Machine Learning – MLP Ops
Work Location & Reporting Address: Austin, TX 78759 (Onsite. LOCAL CANDIDATES ONLY!!!)

Interview Process (Is face to face required?) Yes. 1st round is online video interview, 2nd round is in-person at Austin office

Must Have Skills:
• Machine Learning Operations
• Kubernetes (K8s) for MLP Ops
• AI/ML, Jupiter Notebook, and Jenkins

Nice to Have Skills:

Detailed Job Description:
• Minimum of 6+ years of experience.
• The role is for Big Data Engineer with MLP Ops SRE expertise with 7+ years of role experience
• A solid understanding of AI/ML, Jupiter Notebook, and Jenkins is essential for this role.
• The associate should also have a basic understanding of Kubernetes (K8s) and experience with Kubeflow for MLOps.
• Person will be responsible for end-to-end machine learning lifecycle on our in-house Kubernetes (K8s) cluster
• Ensuring the stability and availability of production services is a key responsibility.
• Handle incident resolution when they occur. Maintain a culture of continuous learning and improvement in the incident resolution process.
• The role involves developing best practices for operations.
• The individual will be expected to create and maintain documentation as needed.
• Associate need to work as per roaster which may include weekend support.
• This role includes on-call duties to handle any urgent issues that occur outside of regular business hours.
• Associate need to work with team member across different geographical location.
• The role involves close collaboration with multiple teams to jointly resolve any major production issues.

Thanks & Regards

From:
Shivam Kumar,
Tanisha Systems Inc.
shivam.kumar@tanishasystems.com
Reply to:   shivam.kumar@tanishasystems.com