at all locations

Senior MLOps Engineer (m/f/d)


Start date

We are looking for you to start as soon as possible at any of our locations!

Your tasks

We are tackling a unique challenge, together with industry and research, building a MLOps platform that will scale across 1000s of nodes covering the ML Lifecycle end-to-end. The ML platform is currently deployed and used in production at multiple large customers.
In the MLOps focused team we are responsible for:

  • gathering, understanding and synthesizing MLOps requirements of our customers
  • designing and presenting MLOps solutions to address those, including architectures and best practices
  • deploying, maintaining and extending the functionality of ML platforms such as our own
  • deploying and maintaining Data Science use cases/ ML models on those platforms 
  • establishing a presence in the MLOps community, through meetups, conferences, hackathons

 For that we are looking for a candidate that is interested joining our team who is self-driven, committed and with a strong customer focus.

Your profile

  • Minimum 2 years of professional experience as a DevOps or Data Engineer having built and maintained critical infrastructure/data solutions in production   
  • Experience with container orchestration, e.g. Kubernetes and its toolset, e.g. Helm   
  • Experience with cloud stacks, e.g. AWS or Azure and Infrastructure as Code e.g. Terraform  
  • Experience with CI/CD, monitoring and alerting, incident management  
  • Experience with workflow management tools e.g. Airflow  
  • Experience working with common concepts and tools in the MLOps Landscape (applications like Kubeflow, MLFlow) or commitment to learn
  • Knowledge of the Machine Learning lifecycle from explorative data analysis, model training to model serving
  • Very good Python and/or Go skills
  • Strong verbal and written communication skills in English, German is a nice-to-have
  • You set realistic deadlines and stick with them, you are highly organized and understand how to prioritize

If your profile does not fit the requirements in all points but you feel you are up for the challenge, we would still encourage you to have a chat with us.

We offer

Data is moving us! What awaits you on your personal journey can be found here:

  • Your start with us: Intensive onboarding process, our AT Buddy program and individual induction plan, training & workshops for an optimal start as well as credit in our internal merchandise store.
  • Your development and career opportunities: Training and certifications within our DataAcademy, annual employee reviews for individual development, knowledge sharing within the company, access to e-learning platforms  
  • Our corporate culture: strongly growing company, unique team atmosphere, direct communication channels, flat hierarchies up to our CEO Alex, supportive and very appreciative cooperation, close and trusting collaboration, open feedback culture
  • Our benefitsQualitrain company fitness as well as internal sports courses, bike leasing via "Jobrad", Mental Health & Wellbeing Support by, training budget, company pension plan, trust-based working hours with flexible working hours, hybrid working model, [at]-Library, free drinks, fresh fruits, company events and much more!


Marie-Luise Thurow, Senior HR Manager: