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MLops Engineer || Plano TX at Plano, Texas, USA
Email: [email protected]
Position :- MLops Engineer

Location :- Plano TX

Key Skills :- AI/ML, Kubernetes, Real Time system stats collection, performance monitoring MLOps in AWS, GCP and CI/CD pipeline

              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 of RT system stats collection and performance monitoring methods

              Basic understanding of RT Feature Engineering methodology and practices

              Understand basic data science concepts and common needs from data scientists.

              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.

Thanks and Regards,

Deepansh Saxena

Senior Technical Recruiter,

Zodiac Solutions Inc

Email:  
[email protected]

https://www.linkedin.com/in/deepansh-saxena-0aa290199/

Office:
www.zodiac.solutions.com

Note: Due to high call volume if I miss your call, email  and LinkedIn is the better way to reach me

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Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Texas
[email protected]
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Tue Mar 19 19:35:00 UTC 2024

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