| MLOps ( Machine Learning Operations ) Engineer --- Infosys --- Austin, TX --- DAY1 Onsite 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: MLOps ( Machine Learning Operations ) Engineer Location: Austin, TX 78759 (Day1 Onsite) Duration: 6+ Months Must Have Skills: Machine Learning Operations AI/ML, Jupiter Notebook, and Jenkins Kubernetes (K8s) for MLP Ops Experience with Kubeflow for MLOps. Detailed Job Description: Minimum of 10+ years of 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 MLOps ( Machine Learning Operations ) Engineer --- Infosys --- Austin, TX --- DAY1 Onsite [email protected] |
| [email protected] View all |
| Tue Oct 15 23:23:00 UTC 2024 |