| Need Kubeflow MLOps engineer || Austin, TX || Onsite Day-1 at Austin, Texas, USA |
| Email: [email protected] |
| Hi, Iam Pavan from Softcom Systems Kindly respond to this requirement with updated profile Details : Role: ML( Machine Learning )Ops engineer Location: Austin, TX || Onsite Day-1 Type : Contract Must Have Skills: Machine Learning Operations Kubernetes (K8s) for MLP Ops AI/ML, Jupiter Notebook, and Jenkins 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. Top 3 responsibilities you would expect the Subcon to shoulder and execute: Support, Analyze Solution implementation Testing Please send below details along with updated resume and DL/VISA copies Full Name (as per passport / Legal Docs) : Contact No (Cell / Home / Office) : Best time to reach : Email Id : Visa Status/ Work Authorization Visa validity ( DD/MM/YY ) Current Location US Entry: Prior Infosys Experience : YES /NO Passport Number Skype Id : SSN Last 4 Digits: Education 1. Passing year of (Bachelors) 2. Bachelors degrees 3. University Name (Bachelors) DOB (DD/MM/YY) Linked In Thanks & Regards Pavan Kumar Softcom Systems, Inc. Your trusted technology partner...., Email: pavan@ softcomsystems.com Direct: 401-526-8976 Office: 609-333-9000 EX:26 475, Wall Street, Princeton, NJ-08540 Keywords: artificial intelligence machine learning materials management Idaho New Jersey Texas Need Kubeflow MLOps engineer || Austin, TX || Onsite Day-1 [email protected] |
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| Fri Dec 06 00:47:00 UTC 2024 |