Senior MLOps Engineer (m/f/d)


Start date

We are looking for you at one of our locations in Munich, Leipzig, Berlin, Cologne, Frankfurt am Main or Stuttgart!

As an MLOps Engineer, you will be an integral part of our consulting team and work closely with clients to implement, operate and optimise ML platforms. With your expertise, you will ensure the successful deployment and management of machine learning models by utilising the latest advances in automation, monitoring and scalability.

Your tasks

  • You understand and summarise the MLOps requirements of our customers
  • As an MLOps Engineer, you can design and present solutions that fulfil the requirements, including architectures and best practices
  • You can easily implement the provision, maintenance and expansion of functionality as well as the maintenance of data science use cases/ML models
  • Ideally, you have experience in building a presence in the MLOps community through meetups, conferences and hackathons

Your profile

  • At least four years of professional experience as a DevOps or data engineer who has built and maintained critical infrastructure/data solutions in production
  • Proven ability to technically lead complex projects involving multiple stakeholders with diverse backgrounds
  • Track record of mentoring and developing engineers, improving the skills and practices of entire teams
  • Experience with container orchestration, e.g. Kubernetesand the corresponding tools, e.g. helmet
  • Experience with cloud stacks, e.g. AWS or Azureand Infrastructure as Code, e.g. Terraform
  • Experience with CI/CDmonitoring and alerting, incident management
  • Experience with workflow management tools, e.g. Airflow
  • Experience in dealing with common concepts and tools in the MLOps landscape (applications such as Kubeflow, MLFlow) or the willingness to learn them
  • Knowledge of the machine learning life cycle, from exploratory data analysis and model training to model operation
  • Very good Python- and/or knowledge of Go
  • Strong oral and written communication skills in English and German

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 time organisation, hybrid working model, 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 satisfaction 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: