Senior MLOps Engineer | Senior MLOps Engineer (m/w/d)
Alexander Thamm GmbH
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
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).
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