Working Student (m/f/d) MLOps

remote | München | as from now

Your mission

We are looking for you as Working Student (m/f/d) MLOps to join our AI Engineering team remotely from anywhere in Germany.

As Working Student in MLOps (m/f/d), you will support our efforts in building end-to-end AI products – especially in the area of Natural Language Processing (NLP) – and help improve and standardize MLOps processes and workflows across the team.
  • Hands-on involvement in cutting-edge AI products: You will contribute to the deployment, experimentation, and monitoring of machine learning models – both online and offline.
  • Enhancing our MLOps infrastructure: You will support the development of robust ML pipelines, contribute to automation efforts, and help improve CI/CD practices for ML models.
  • From proof-of-concept to scale: You will gain insights into real-world AI workflows and help drive machine learning projects from experimentation into scalable production environments.
  • Collaborating in a cross-functional setup: You will work closely with our AI engineers, data scientists, and software developers – and get hands-on experience with model observability and experiment tracking tools.

Your skillset

  • Academic background: You are currently enrolled at a university or college in Computer Science, Engineering, or a comparable field and are available for 15–20 hours/week.
  • Technical know-how: You have first experience with Python and modern ML libraries such as PyTorch, TensorFlow, scikit-learn, pandas, or numpy.
  • DevOps affinity: You are familiar with Linux environments, Bash, and container technologies like Docker and Docker Compose.
  • MLOps interest: You are curious about topics such as model orchestration, CI/CD pipelines, and experiment tracking, and may have already explored tools in this area.
  • Working style: You approach problems with curiosity and persistence, enjoy learning new technologies, and have a hands-on mentality. You communicate clearly in English (required); German is a plus.

Your winning deal

  • Learning on the job: We give you the opportunity to gain hands-on experience with enterprise-grade ML systems and work on impactful real-world projects – from experimentation to production.
  • Mentorship & collaboration: Learn directly from experienced ML engineers and become part of a collaborative team where your ideas are valued and your growth is supported.
  • Flexibility that fits your life: We offer you a flexible work schedule (15–20 hours/week), with a fully remote setup that works well alongside your studies.
  • Diverse tasks: You’ll gain exposure to various aspects of MLOps – including model deployment, monitoring, CI/CD, and orchestration – and actively shape the way we build AI.
  • Future potential: Impress us and there’s a good chance you’ll continue your journey with yoummday after graduation.
  • Benefits: 30 days' vacation pro rata to your working hours, on-site soft drinks, coffee, tea, ice cream, snacks, Friday pizza, regular sports and team events – and a supportive environment to grow your skills.