Data Science | Machine Learning - MLP Ops | SRE - in-person at Austin at Austin, Texas, USA |
Email: [email protected] |
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1896531&uid= Hi Please send resume with details Interview Process (Is face to face required) Yes. 1st round is online video interview, 2nd round is in-person at Austin office Job Title: Technology Lead | Data Science | Machine Learning - MLP Ops | SRE Work Location: Austin, TX 78759 (Onsite. LOCAL CANDIDATES ONLY !!!) Rate: $60/hr Interview Process : 1st round is online video interview, 2nd round is in-person at Austin office Detailed Job Description: Minimum Years of Experience: 8-10 years 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: Support, Analyze Solution implementation Testing LOCAL CANDIDATES ONLY Interview Process : 1st round is online video interview, 2nd round is in-person at Austin office ******* Thanks & Regards Patrick Malla systems Inc dba eFulgent, Phoenix, AZ Contact(direct): 623-259-4718, [email protected] , [email protected] , (best way to reach) www.eFulgent.net , Certified Minority Business Enterprise (MBE) Keywords: artificial intelligence machine learning Arizona Texas Data Science | Machine Learning - MLP Ops | SRE - in-person at Austin [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1896531&uid= |
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07:43 PM 04-Nov-24 |