Join us as a
(Senior) MLOps Engineer (m/f/d)
What we look for:
What we require:
What you can expect:
- You build and deploy production-grade machine learning systems, tools, and infrastructure.
- You design and implement scalable pipelines for model deployment, monitoring, and lifecycle management.
- You collaborate closely with data scientists, AI engineers, and software engineers to bring models into production.
- You ensure reliability, scalability, and performance of ML systems across environments.
- You contribute to reusable solutions and standards that accelerate the delivery of machine learning systems.
- You act as a technical advisor in projects, supporting stakeholders in translating machine learning concepts into practical solutions.
- You hold a degree in Computer Science, Software Engineering, Data Science, or a related field.
- You have 3–6 years of experience in MLOps, DevOps, or machine learning engineering.
- You have hands-on experience operationalising machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- You have strong programming skills in Python and a solid understanding of software engineering best practices.
- You have experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP).
- You are familiar with containerisation and orchestration tools such as Docker and Kubernetes.
- You are fluent in English; additional local language skills are a plus.
- Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.
- Your hard work pays off! You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.
- Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at OMMAX - with us you will become a digital leader!
- Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan and Berlin.
- Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.
- Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.
CONTACT
Philipp Ortlieb Partner & Chief People Officer