| Machine Learning with Big Data Engineer at Austin, Texas, USA |
| Email: [email protected] |
| From: Azhar, Softcom Systems Inc [email protected] Reply to: [email protected] Hello Professionals, This Azhar Mohammad from Softcom Systems INC. I have a below Job Opportunity if you have any Consultants Please let me know!! Job Title: Machine Learning with Big Data Engineer Location: Austin, TX 78759 (DAY1 Onsite. LOCAL CANDIDATES ONLY) Duration: 6+ Months 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 Thanks & Regards:- Azhar Mohammad Softcom Systems Inc. Email: [email protected] Keywords: artificial intelligence machine learning Texas Machine Learning with Big Data Engineer [email protected] |
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| Tue Oct 15 04:22:00 UTC 2024 |