About the Role

Our client is seeking a highly skilled and visionary AI Architect to join our team in the Baden-Württemberg area. In this strategic role, you will lead the design and implementation of scalable, secure, and production-ready AI systems, driving innovation across our digital products and services.

You will bridge the gap between cutting-edge AI research and real-world applications-whether in manufacturing automation, intelligent systems, robotics, or advanced analytics.

Key Responsibilities

• Design AI/ML system architectures that scale across cloud, edge, and embedded platforms.

• Lead the end-to-end development lifecycle of AI solutions-from data pipelines and model training to deployment and monitoring.

• Collaborate with data scientists, software engineers, DevOps, and product managers to translate business requirements into technical solutions.

• Drive the adoption of MLOps best practices, including CI/CD for machine learning, model versioning, and reproducibility.

• Select and integrate suitable AI frameworks and infrastructure (e.g., TensorFlow, PyTorch, ONNX, Kubernetes, GPU clusters).

• Define data governance and AI ethics standards, ensuring compliance with GDPR and emerging AI regulations.

• Evaluate new technologies and propose technical roadmaps for AI capabilities within the organization.

• Partner with academic and research institutions to explore state-of-the-art AI methodologies (e.g., Reinforcement Learning, Foundation Models, Digital Twins).

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (PhD a plus).

• Proven experience as an AI/ML Engineer, Machine Learning Architect, or similar role.

• Deep knowledge of machine learning, deep learning, NLP, and computer vision.

• Strong programming skills in Python (plus: C++, Java), and experience with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).

• Solid understanding of software architecture, APIs, containerization (Docker, Kubernetes), and cloud platforms (Azure, AWS, GCP).

• Familiarity with data engineering, streaming (Kafka, Spark), and databases (SQL/NoSQL).

• Experience with MLOps tools like MLflow, DVC, Kubeflow is a strong advantage.

• Strong communication skills in English & German.

Benefits

• Pension, Bonus, Healthcare