AI/ML Ops Engineer (w/m/d)

Role Overview

As an AI/ML Ops Engineer, you will guarantee the stable and scalable operation of cutting-edge machine learning and generative AI systems. Your responsibilities include establishing an end-to-end delivery pipeline from development to productive deployment.

Key Responsibilities

• Develop and maintain CI/CD/CT pipelines specifically for machine learning models and generative AI applications, including prompt workflows.
• Implement and manage model registry, version control, and deployment processes.
• Deploy AI services within production environments using Docker and Kubernetes technologies.
• Monitor and enhance model performance parameters such as drift, latency, cost efficiency, and availability.
• Ensure scalability, system stability, and reproducibility of ML workflows.
• Produce audit-compliant artifacts including model cards, logs, and comprehensive documentation.
• Collaborate closely with data scientists, ML engineers, and platform teams to optimize AI operations.
• Drive continuous improvement of best practices in MLOps and AI system management.

Candidate Profile

• Completed degree in computer science, software engineering, or a related field.
• Several years of experience in DevOps or MLOps environments.
• Strong expertise in containerization technologies such as Docker and orchestration tools like Kubernetes.
• Proficient in CI/CD systems and the automation of deployment workflows.
• Hands-on experience with monitoring, logging, and tracking software.
• Solid Python programming skills to support automation initiatives.
• Practical knowledge in managing large language model operations (LLMOps) and generative AI applications.
• Familiarity with relevant standards, including ISO/IEC 42001.
• Experience operating in hybrid infrastructure settings combining both cloud and on-premise environments.

Benefits

• Competitive salary package.
• Supportive environment composed of dedicated team players.
• Flexible work arrangements with trust-based hours and up to 40% remote work possibility.
• Wide range of professional development opportunities available both online and offline.
• Discounts on company products and various leisure activities.
• Access to an on-site company restaurant.
• Complimentary beverages and fresh fruit.
• Subsidized company bicycle program (Jobrad).