AI DevOps Engineer (f/m/div)

AI DevOps Engineer

#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, get ready to 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

Key responsibilities in your new role. Join our new and growing team, where you will design and implement CI/CD pipelines, deploy and monitor cutting-edge AI/ML models, collaborate with talented data scientists and engineers, develop robust automated testing frameworks, and optimize high-performance infrastructure to drive innovation and efficiency.

• 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
• 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 CloudCertified - 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)

Please send us your CV in English.

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

Contact: Regan Lottering, LinkedIn