AI DevOps Engineer (f/m/div)

#WeAreIn for jobs that impact everyone's life. Coding the future, one algorithm at a time - ready for the challenge? As an AI DevOps Engineer in the Software & Data Science team, program the intelligence behind the chips, transform complex data into actionable insights, and create cutting‑edge solutions that redefine industries and solve tomorrow's challenges. Are you in?

Your Role

Responsibilities

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

Qualifications

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

Equal Employment Opportunity Statement

• Subject to meeting all job requirements, belonging to protected categories under Law 68/99 will be considered a preferential requirement.

Contact

Regan Lottering, LinkedIn