Information Technology : Machine Learning Operations Engineer (MLOps) (m/w/d) with Linux Automation Expertise

Your tasks

• Manage and automate the entire ML lifecycle, from data handling to model deployment This includes: Develop and maintain CI/CD pipelines tailored for ML workflows
• Utilize Kubernetes, Docker, or similar for ML container orchestration and deployment
• Continuously monitor and ensure system, model and data health and align ML hardware according to computational needs
• Design robust backup and disaster recovery plans for ML models and datasets, Explore and integrate new MLOps tools and methodologies to advance our ML capabilities, upholding security and team collaboration

Your qualifications

• Master’s degree in Computer Science, Data Science, Engineering or a related technical field
• Proficient in Python
• Experience in developing and maintaining CI/CD pipelines with GitLab Runners
• Hands-on experience with containerization and orchestration technologies like Docker, Kubernetes, S3 Storage and RDBMS
• Strong background in Linux server management and automation with automation tools such as Ansible for configuration management
• Knowledge of log management and visualization tools such as Grafana & Prometheus, Kibana, Elasticsearch
• Familiarity with monitoring and visualization tools for ML applications like Airflow, Argo, Apache Superset or similar
• Exceptional problem-solving and analytical abilities with strong communication and documentation skills
• Team player with the ability to work collaboratively in a cross-functional team environment

Interested?