We are looking for a DEVOPS / MLOPS ENGINEER.
Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies.
You have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.
What youll do:
Own and manage every aspect in the MLOps life cycle for our AI-based automatic sports highlights generation platform.
Design, implement and maintain our whole ML infrastructure, from research to production and from model training to data engineering.
Automate and innovate workflows such as serving and training pipelines for multidisciplinary ML algorithms including Computer Vision, NLP and Data Science.
Build and maintain CI/CD pipelines, releases and Source Code workflows.
Youll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies.
You have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN and thats just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.
What youll do:
Own and manage every aspect in the MLOps life cycle for our AI-based automatic sports highlights generation platform.
Design, implement and maintain our whole ML infrastructure, from research to production and from model training to data engineering.
Automate and innovate workflows such as serving and training pipelines for multidisciplinary ML algorithms including Computer Vision, NLP and Data Science.
Build and maintain CI/CD pipelines, releases and Source Code workflows.
Requirements:
4+ years experience as an MLOps engineer, DevOps engineer or similar fields
Experience in a complex, large-scale, high-uptime production cloud environment.
Core understanding of Linux OS, Docker Components, Kubernetes.
Experience with CI/CD pipelines for distributed production systems
Experience with python scripting.
Work experience with Terraform.
Understanding of AI and machine learning fundamentals, concepts and frameworks advantage.
Working with MLOps platforms such as Experiment Tracking, Model Registry, feature Store Advantage (e.g ClearML , W&B, Aws Sagemaker)
Working with Azure Cloud in high-scale production environment Advantage
4+ years experience as an MLOps engineer, DevOps engineer or similar fields
Experience in a complex, large-scale, high-uptime production cloud environment.
Core understanding of Linux OS, Docker Components, Kubernetes.
Experience with CI/CD pipelines for distributed production systems
Experience with python scripting.
Work experience with Terraform.
Understanding of AI and machine learning fundamentals, concepts and frameworks advantage.
Working with MLOps platforms such as Experiment Tracking, Model Registry, feature Store Advantage (e.g ClearML , W&B, Aws Sagemaker)
Working with Azure Cloud in high-scale production environment Advantage
This position is open to all candidates.
