Devopshunt
Senior DevOps Engineer (Data Solutions)-Austin, San Antonio, or Dallas
Devopshunt, Austin, Texas, us, 78716
Senior DevOps Engineer (Data Solutions) - Austin, San Antonio, or Dallas
Company:
H-E-BType:
Full-timeLocation Type:
HybridLocation:
2416 East 6th Street, Austin, TX 78702Salary:
Not disclosedJob Description
As a
Senior DevOps Engineer , you will be responsible for automating, scaling, supporting, and cost-optimizing our enterprise-scale machine learning pipelines. You will collaborate closely with data scientists, data engineers, and platform engineers to establish CI/CD and infrastructure-as-code frameworks, develop reusable pipelining libraries, design scalable, highly-fault-tolerant architectures, implement model observation and performance monitoring, and deploy/support enterprise-grade ML solutions. You will optimize machine learning models for production efficiency and cost-optimize the solution to maximize its ROI to the business.Responsibilities
Automate, scale, support, and cost-optimize machine learning pipelines.Collaborate with data scientists, data engineers, and platform engineers to design, build, and deploy ML pipeline tools and frameworks.Translate models to optimal production code and validate results before deployment.Support production ML solutions for mission-critical applications.Establish and enforce team development standards.Who You Are
Bachelor’s degree or higher in computer science, engineering, or related quantitative field.5+ years of experience as an MLOps engineer, or 3+ years of experience as a DevOps engineer and 2+ years of experience building, training, and deploying ML models.Solid experience supporting a Data Science or Data Solutions Team.Hands-on with DevOps, MLOps, or container-based application development (Docker, Kubernetes, etc.).Expertise in designing and implementing data pipelines using modern data engineering approaches and tools.Proficiency in Python and strong object-oriented design skills.
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Company:
H-E-BType:
Full-timeLocation Type:
HybridLocation:
2416 East 6th Street, Austin, TX 78702Salary:
Not disclosedJob Description
As a
Senior DevOps Engineer , you will be responsible for automating, scaling, supporting, and cost-optimizing our enterprise-scale machine learning pipelines. You will collaborate closely with data scientists, data engineers, and platform engineers to establish CI/CD and infrastructure-as-code frameworks, develop reusable pipelining libraries, design scalable, highly-fault-tolerant architectures, implement model observation and performance monitoring, and deploy/support enterprise-grade ML solutions. You will optimize machine learning models for production efficiency and cost-optimize the solution to maximize its ROI to the business.Responsibilities
Automate, scale, support, and cost-optimize machine learning pipelines.Collaborate with data scientists, data engineers, and platform engineers to design, build, and deploy ML pipeline tools and frameworks.Translate models to optimal production code and validate results before deployment.Support production ML solutions for mission-critical applications.Establish and enforce team development standards.Who You Are
Bachelor’s degree or higher in computer science, engineering, or related quantitative field.5+ years of experience as an MLOps engineer, or 3+ years of experience as a DevOps engineer and 2+ years of experience building, training, and deploying ML models.Solid experience supporting a Data Science or Data Solutions Team.Hands-on with DevOps, MLOps, or container-based application development (Docker, Kubernetes, etc.).Expertise in designing and implementing data pipelines using modern data engineering approaches and tools.Proficiency in Python and strong object-oriented design skills.
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