(Junior) MLOps Engineer (m/f/d)


Start date

We are looking for you with immediate effect at one of our German locations in Munich, Stuttgart, Leipzig, Berlin, Cologne or Frankfurt on the Main!

Your tasks

Data and AI are your home? Furthermore, your new challenge will be as follows:

As (Junior) MLOps-Engineer (m/f/d) with [at] you will become a integral part of our consulting team and work closely with our customers to implement, operate and optimise machine learning platforms. Your expertise will be used for the successful use and the Management of machine learning models by learning about the latest advances in AutomationMonitoring and Scalability uses.

  • Grasping, understanding and Synthesise the MLOps requirements of our customers 
  • Draft and Presentation from MLOps solutions to address these requirements, including architectures and best practices
  • Providing, maintaining and expanding the Functionality from Machine learning platforms 
  • Provision and maintenance of Data Science Use Cases and Machine learning models (on these platforms)
  • Structure of a Presence as (Junior) MLOps Engineer in the MLOps Community through meetups, conferences and hackathons

Your profile

Data is also in your DNA? That's what you should bring with you:

  • Successful university degree (Business) Informatics, Computer Science, Data Science, Data Engineering or a comparable qualification
  • At least 1 - 2 years practical experience with Cloud platforms (AWS/ Azure) or Container orchestration (Kubernetes and its toolset, e.g. Helm)
  • Understanding for the entire Machine Learning Lifecycle - from explorative data analysis and model training to model deployment 
  • Good Programming skills preferably in Python
  • Very good verbal and written communication skills at German and English

Nice to have:

  • Know How about Machine Learning Algorithms and Tools
  • Practical experience with Infrastructure as Codee.g. Terraform and in one of the areas: CI/CD, monitoring, alerting and incident management 
  • Experience with Workflow management toolssuch as Airflow 
  • Knowledge via common concepts and Tools in the MLOps landscape (Kubeflow, MLFlow) and a high level of motivation to learn new technologies

We offer

Data moves us! You can find out what awaits you on your personal journey here:

Work-life balance
Trust-based working hours with flexible working hours - whether fully remote or in one of our modern city centre offices (incl. roof terrace), workation - take advantage of the opportunity to work from other EU countries
Culture & Cooperation
Unique team atmosphere, flat hierarchies to our CEO Alex as well as an open feedback culture, annual team workshops at our Data.Castle in the Zillertal, lived Data.Musketeer principle - "one for all, all for one!", our [at] Buddy programme for better networking, regular professional and leisure events, dog-friendly offices.
Professional & personal development
Intensive onboarding & familiarisation process, personal development plan and individual training opportunities, diverse range of workshops and training courses within the Data.Academy by our experienced Data.Musketeers as well as external providers, management, project manager and expert career paths.
Remuneration & fringe benefits
Childcare allowance, company pension scheme with 20% subsidy, numerous corporate benefits & employee offers (e.g. for events and travel), starting credit in our internal merchandise shop, competitive salary with variable components
Health & Wellbeing
Mental health & wellbeing support as well as coaching and meditation by, fitness and yoga rooms in the Munich office, regular employee surveys, EGYM Well Pass membership with Plus1 option, bicycle leasing via Jobrad after the probationary period, internal groups for sports activities, free hot and soft drinks as well as fresh fruit in the office, roof terrace (barbecue).
Central location of the offices, good connections to public transport, possibility to work from other locations


Marina Sommer, Principal Recruiting Manager: