MLOps Engineer (NXJ-125)

We’re seeking a skilled and motivated MLOps Engineer to join a fast-moving team building an AI-powered platform for automatic sports highlights generation. 

In this role, you’ll take ownership of the full MLOps lifecycle—from research and model training to production deployment and scalable infrastructure. You’ll design and maintain robust ML pipelines, automate workflows across Computer Vision, NLP, and Data Science, and build reliable CI/CD processes that keep high-uptime systems running smoothly. 

Your work will help deliver cutting-edge AI experiences at cloud scale, powering innovation and performance across the entire platform.

Responsibilities

• 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 of experience as an MLOps engineer, DevOps engineer, ML Engineer, or in a similar field

• Experience in a large, complex, large-scale, high-uptime production Cloud environment

• Core understanding of Linux OS, Docker components, and Kubernetes

• Experience with CI/CD pipelines for distributed production systems

• Experience with Python scripting

• Work experience with Terraform

• Working with MLOps platforms such as Experiment Tracking, Model Registry, feature Store - an advantage (e.g ClearML , W&B, Aws Sagemaker)

• Highly motivated, goal-driven, innovative, curious, and open-minded

Will be a plus

• Working with Azure Cloud in a high-scale production environment

• Understanding of AI and machine learning fundamentals, concepts and frameworks

What we offer

• Competitive salary range

• Medical insurance

• Paid vacation and sick leaves

• MultiSport card

• Top equipment kit, co-workings

• Hybrid set of works (Office location: Warsaw)

• Collaborative and innovative work environment

• Career growth and development opportunities

• A chance to work with giants of the sports industry

About the project

Our partner leads the industry in generating dynamic sports videos for every digital destination. Their cutting-edge AI and Machine Learning technologies analyse live sports broadcasts from over 250 leagues and broadcast partners, including iconic names like the NBA, NHL, ESPN, FIBA and Bundesliga, to create personalized, short-form videos in real-time.

The solution empowers media rights owners to unlock new revenue streams and deliver a tailored fan experience across every digital platform. Join the high-profile Engineering team and discover the forefront of sports contents innovation.