AI DevOps

Your Role

Key responsibilities in your new role

• Develop and maintain CI/CD pipelines for AI/ML models targeted towards chip development, ensuring smooth and efficient deployment to production environments
• Deploy and monitor AI/ML models in production environments, ensuring they meet performance, scalability, and reliability requirements and versioning and rollback capabilities
• Work closely with data scientists and engineers to understand AI/ML model requirements, develop deployment strategies, and ensure seamless integration with existing infrastructure
• Develop and implement automated testing and validation frameworks to ensure AI/ML models meet quality and performance standards managing performance & drifts
• Manage and optimize infrastructure resources (e.g., compute, storage, networking) to support AI/ML workloads, ensuring efficient use of resources and minimizing costs and drive continuous improvement

Your Profile

Qualifications and skills to help you succeed

You are a strong team player with excellent problem-solving and communication skills, able to clearly explain ideas and collaborate with others to drive results. You naturally take initiative, help guide discussions, and inspire those around you.

• Degree in Computer Science, Information Technology or related fields such as Artificial Intelligence, Machine Learning, Data Science
• 1 to 3 years of experience in DevOps, software engineering or a related field
• Experience working with AI/ML models, CI/CD pipelines, containerization (e.g. Docker), cloud-based infrastructure (AWS, GCP, Azure) and container orchestration (e.g. Kubernetes)
• Relevant certifications in DevOps, Cloud Computing, or AI/ML engineering (e.g. AWS Certified DevOps Engineer, Google Cloud Certified – Professional Cloud Developer)
• Strong experience with programming (e.g. Python, Java), CI/CD tools (e.g. Jenkins, GitLab), containerization (e.g. Docker, Kubernetes), cloud platforms (e.g. AWS, GCP), and automation tools (e.g. Ansible)
• Familiarity with AI/ML frameworks (e.g. TensorFlow, PyTorch) and monitoring/logging tools (e.g. Prometheus, Grafana)
• Fluency in English (mandatory)

About Infineon

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.