AI Dev Ops Engineer – Software & Data Science As an AI Dev Ops Engineer in the Software & Data Science team, you will 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. Your Role Design and implement CI/CD pipelines for AI/ML models targeted toward chip development, ensuring smooth deployment to production environments. Deploy and monitor AI/ML models in production, ensuring they meet performance, scalability, reliability, versioning, and rollback requirements. Collaborate 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 AI/ML models meet quality and performance standards and manage 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. Your Profile Degree in Computer Science, Information Technology or related fields such as Artificial Intelligence, Machine Learning, or Data Science. 3+ years of experience in Dev Ops, software engineering, or a related field. Experience working with AI/ML models, CI/CD pipelines, containerization (Docker), cloud-based infrastructure (AWS, GCP, Azure) and container orchestration (Kubernetes). Relevant certifications in Dev Ops, Cloud Computing, or AI/ML engineering (e.g., AWS Certified Dev Ops Engineer, Google Cloud Certified – Professional Cloud Developer). Strong experience with programming (Python, Java), CI/CD tools (Jenkins, Git Lab), containerization (Docker, Kubernetes), cloud platforms (AWS, GCP), and automation tools (Ansible). Familiarity with AI/ML frameworks (Tensor Flow, Py Torch) and monitoring/logging tools (Prometheus, Grafana). Fluency in Engli

📌 Ai devops engineer (Italia)
🏢 Infineon Technologies
📍 Italia