Senior MLOps Engineer | Senior MLOps Engineer (m/w/d)

Alexander Thamm GmbH

München, Bayern, Deutschland
Published Apr 22, 2026
Full-time
Permanent

Job Summary

As a Senior MLOps Engineer, you will play a pivotal role in our consulting team, collaborating directly with clients to implement, operate, and optimize robust machine learning platforms. Your day-to-day responsibilities will involve designing and presenting MLOps architectures, managing the full lifecycle of ML models, and developing automated CI/CD pipelines. You will be responsible for ensuring the scalability and monitoring of production-grade data infrastructures. The ideal candidate brings a strong background in MLOps or DevOps, expertise in cloud environments, and a passion for mentoring team members to foster best practices. This position is unique because it offers the chance to work at the forefront of AI and data science within a highly collaborative, flat-hierarchy environment that emphasizes both professional growth through a dedicated 'Data.Academy' and a strong work-life balance, including flexible work models and office locations across Germany.

Required Skills

Education

Not specified

Experience

  • At least 3 years of professional experience as an MLOps, DevOps, or Data Engineer in building and operating production data infrastructures.
  • Proven experience in designing and presenting technical architectures and best practices.
  • Practical experience with ML lifecycle management and CI/CD implementation.
  • Experience in mentoring team members and establishing technical standards.

Languages

German (Fluent)English (Fluent)

Additional

  • Must be eligible to work in Germany. Position requires availability for travel to various German office locations (Munich, Nuremberg, Leipzig, Berlin, Essen, or Frankfurt).