Keylent Inc
MLops Engineer
Keylent Inc - Plano
Work at Keylent Inc
Overview
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Overview
MLops Engineer MAHIN-JOB-32325
Position :- MLops Engineer
Location :- Plano TX
Key Skills :- AI/Client,kubernetes, Real Time system stats collection, performance monitoring MLOps in AWS, GCP and CI/CD pipeline
Bachelor's 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 / Client 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.
Position :- MLops Engineer
Location :- Plano TX
Key Skills :- AI/Client,kubernetes, Real Time system stats collection, performance monitoring MLOps in AWS, GCP and CI/CD pipeline
Bachelor's 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 / Client 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.