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Job Title:   Big Data Engineer With (Data Science /Machine Learning – MLP Ops)
Location:  Austin, TX 78759 (Onsite- LOCAL CANDIDATES ONLY)
duration:  6+ Month Contract

Note: Interview Process (Is face to face required?). 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:
• 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.

Top 3 responsibilities you would expect the Subcon to shoulder and execute:
• Support, Analyze
• Solution implementation
• Testing

 Thanks, and Regards!!

“Please feel free to contact, if you have any query.”

Akash Rai

Technical Recruiter

Phone: 331-269-1762

Email: [email protected]

Enterprise Solutions, Inc.

www.enterprisesolutioninc.com