AI Engineer | AI Engineer (m/f/d) – Machine Learning, MLOps and Production-Grade AI Systems
Expert Select GmbH
Job Summary
We are seeking an experienced AI Engineer to develop, deploy, and maintain machine learning solutions for real business processes. This role bridges data science, software development, data engineering, and IT infrastructure, focusing on creating measurable business value beyond experimental prototypes. You will design and implement ML models for various use cases, build robust data pipelines, integrate models into production systems via APIs and containers, and enhance MLOps workflows for versioning, CI/CD, and monitoring. The ideal candidate possesses strong Python skills, experience with ML frameworks, statistical fundamentals, SQL, and MLOps concepts, along with a solid understanding of production software architectures and quality engineering practices. This position offers a technically demanding environment for professionals passionate about building reliable, scalable, and maintainable AI systems with tangible impact.
Required Skills
Education
Completed degree in computer science, data science, mathematics, statistics, physics, engineering, business informatics, or a comparable technical discipline
Experience
- Strong practical experience in developing data-driven systems and production-oriented AI applications
- Very strong Python skills
- Solid experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn)
- Very good SQL skills and experience with relational databases
- Experience in handling large data volumes, data quality issues, data modeling, and efficient data processing
- Practical knowledge of MLOps concepts (e.g., model versioning, experiment tracking, reproducible training workflows, CI/CD, monitoring)
- Experience with Git, Docker and ideally Kubernetes
- Understanding of APIs, productive software architectures and scalable system integration
- Strong awareness of software quality, testing, documentation and maintainability
Languages
Additional
- Not specified
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