Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop CI/CD pipelines for AI/ML models aimed at chip development, optimize deployments, monitor performance, and collaborate closely with data scientists for seamless integrations.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Degree in Computer Science, Information Technology or related fields such as Artificial Intelligence, Machine Learning, Data Science.
Qualifications
- 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.
- Relevant certifications in DevOps, Cloud Computing, or AI/ML engineering (e.g., AWS Certified DevOps Engineer, Google Cloud Certified - Professional Cloud Developer).
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and monitoring/logging tools (e.g., Prometheus, Grafana).
- Fluency in English (mandatory).
Experience
- 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).
- 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).
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Infineon Technologies AG
Our creativity and dedication increase the value for our customers, employees, and investors. We understand how semiconductors improve the performance of modern technology and enable solutions that shape our current and future lives. Every single product we develop and manufacture is done with passion and precision, evidence of our determination to succeed. This makes us a trustworthy partner and helps our customers become even more successful.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Electronics, Automatization
AI DevOps
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
