(Senior) MLOps Engineer (m/f/d)

Job summary

Join Continental’s Digital Solutions Department as an MLOps Engineer, where you will design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments.

Qualifications

• Several years of professional experience as a MLOps Engineer
• Strong programming skills in Python and SQL
• Expertise in CI/CD and automation tools
• Proficiency in containerization and orchestration
• Hands-on experience with ML model deployment and lifecycle management
• Good knowledge of cloud platforms and infrastructure-as-code practices
• Familiarity with monitoring and performance tracking tools
• Solid understanding of software engineering and DevOps practices
• Experience with Agile project management methods
• Proficient English language skills
• Experience working in an international team

Responsibilities

• Design and manage CI/CD pipelines for ML models
• Build and maintain scalable ML infrastructure on cloud platforms
• Automate deployment, monitoring, and rollback processes
• Implement monitoring and feedback loops for model performance
• Collaborate with data scientists and engineers to integrate ML models
• Provide technical leadership and mentorship

Skills

Degrees

Relocation