| Real time Machine learning Engineer (RTML Engineer) - Irving, TX or Basking Ridge, NJ or Tampa, FL or San Diego, CA (Onsite)-C2C at Tampa, Florida, USA |
| Email: [email protected] |
| From: Sudharsan, vysystems [email protected] Reply to: [email protected] Responsibilities: Functioning as a domain expert in the area of RTML model serving technology, familiar with the industrial trends in RTML, common RTML architectures, leading 3rd-party RTML serving products, and evaluation criteria's Working closely with other teams to define technical strategy, architecture, development choices and ensure overall growth of the Jarvis Framework to meet our internal customers needs. Leading the Jarvis development activities through phased releases, ensuring it is architecturally sound, implemented correctly/efficiently, and delivered on time. Supporting internal customers with major framework issues and coordinating triage efforts to solve them. Lead and mentor junior developers in the team and always pushing for team successes. Adhering to industry standards and best practices and tracking emerging RTML technologies and trends to continuously improve the Jarvis framework. Skills Needed: Overall 10+ years of experience in IT. Bachelors degree or above in Computer Science/Engineering or other related areas. Four or more years of work experience in computer software development related jobs. At least two years are in AI / ML Engineering areas with reasonably good understanding of Data Science and AIML practices/workflows. Strong expertise in RTML model serving arena and/or large-scale cloud-based RT framework development. Experience with programming languages such as Python and Java. Experience in large application development in cloud environments- AWS, GCP and On-Prem clusters. Experience in K8s architecture and principle of operations, hands-on skills of deploying large applications in production K8s cluster, configuring K8s properly, and troubleshooting when the application has issues. Good understanding of RT system stats collection and performance monitoring methods. Basic understanding of RT Feature Engineering methodology and practices. Even better if you have one or more of the following: Understand basic data science concepts and common needs from data scientists. Familiarity with common ML modeling frameworks such as TensorFlow and PyTorch. Experience with a scalable distributed model serving framework like Ray Serve will be very helpful. Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders. Experience with cloud infrastructures and MLOps in clouds. Familiar with CI/CD process and common frameworks such as ArgoCD Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Real time Machine learning Engineer (RTML Engineer) - Irving, TX or Basking Ridge, NJ or Tampa, FL or San Diego, CA (Onsite)-C2C [email protected] |
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| Fri Jun 21 03:16:00 UTC 2024 |