Germany
ES
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Description:
- Join Continental’s Digital Solutions Department as an MLOps Engineer, focusing on transforming machine learning into scalable, production-ready solutions.
- Design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments.
Requirements:
- Academic degree in Computer Science, IT, Engineering, Mathematics, or related field.
- Several years of professional experience as a MLOps Engineer.
- Strong programming skills in Python and SQL.
- Expertise in CI/CD and automation tools (e.g., GitHub Actions).
- Proficiency in containerization and orchestration (Docker, Kubernetes).
- Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker).
- Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices.
- Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow).
- Solid understanding of software engineering and DevOps practices.
- Experience with Agile project management methods (Scrum, Kanban).
- Proficient English language skills (written and spoken).
- Experience working in an international team (desirable).
Benefits:
- Attractive compensation with the option of an above-tariff salary.
- Flexibility in working models, including mobile working and part-time options.
- 30 days of paid vacation per year.
- Company pension plan for financial security.
- Support for career development through training and learning platforms.
- Remote work opportunities for EU citizens.
- Exclusive employee benefits and discounts.
- Comprehensive health and wellness initiatives.
- Family-friendly culture with childcare support.
- Confidential support services for personal and professional matters.
- Diverse and international work environment.
Job title
Experience level
Required experience
3 years
Salary
-
Degree requirement
Degree requiredSkills
Location requirements
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