Expert Machine Learning and AI Engineer - MLAI(m/w/x)

In this role, you will design and maintain MLOps pipelines while managing the entire ML/AI model lifecycle. Collaborating with data scientists and cloud teams will ensure that solutions are secure, scalable, and compliant, making a significant impact on the transformation into a Data-&-AI-first player.

Anforderungen

• •Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
• •Proven professional experience as a Machine Learning Engineer, MLOps Engineer, Data Engineer, or in a similar role
• •Professional experience across multiple areas of machine learning, including classical ML, deep learning, and Generative AI
• •Experience integrating GenAI / LLMs into scalable, business-critical solutions
• •Strong hands-on experience in cloud engineering, preferably on Google Cloud Platform
• •Proficiency in Python and SQL, with experience using common ML frameworks such as TensorFlow, PyTorch, and scikit-learn
• •Experience deploying and operating ML models in production, covering the full lifecycle from data preparation to model re-training
• •Hands-on experience with containerization and orchestration technologies
• •Knowledge of CI/CD pipelines and infrastructure automation
• •Experience working with large-scale data processing systems and applying data engineering best practices
• •Strong ability to collaborate cross-functionally and contribute to discussions with diverse stakeholders