Machine Learning Engineer (all genders)

Effective Field

• You can look forward to a dynamic, challenging, and diverse work environment in the Data & AI domain, where you’ll contribute to innovative client projects across various industries.
• You’ll be part of a hybrid, international expert team that combines technical with consulting excellence.
• You’ll design and develop scalable Data & AI solutions – from architecture and implementation through to integration into production environments.
• You’ll actively contribute to agile projects, take ownership of subprojects, and collaborate closely with colleagues from Cloud, Data, and AI Engineering or Consulting.
• You can expect diverse challenges, plenty of room for initiative, and the opportunity to shape technological trends through real client projects.

What distinguishes you

• Degree in Computer Science, Informatics, Data Science, Mathematics, or a related field
• Experience:
  • Mid-Level: 3–6 years of professional experience in ML engineering
  • Senior: 6+ years of experience with a proven track record in designing, deploying, and operating production-grade ML systems and automated training pipelines.
• Expertise in Python, its ML ecosystem (scikit-learn, TensorFlow, PyTorch), SQL, model training, hyperparameter tuning, feature engineering, automated pipelines (Apache Airflow), MLOps frameworks (MLflow, Metaflow), model deployment (ONNX), and model monitoring.
• Experience with cloud ML environments (Azure, AWS), containerized/serverless deployments, infrastructure-as-code, and CI/CD pipelines for ML workflows.
• Expertise in software engineering, API and microservice design, monitoring tools (Splunk, Prometheus, Grafana), and engineering best practices like CI/CD pipelines, Git, automated testing, and agile methodologies.
• Data & Generative AI: Practical knowledge of data quality, relational/NoSQL databases; experience with GenAI frameworks (e.g., LangChain, Spring AI) and techniques like prompt engineering or semantic search; routine use of AI-assisted coding tools.
• Fluent in English.
• Strong team player and intercultural communication skills.
• Independent, structured, and self-reliant working style.
• Pragmatic, solution-oriented, and analytical thinker.

What you can expect

• Professional environment with challenging national and international digital projects for well-known customers and hidden champions;
• A passionate team with a Can-Do Attitude that welcomes you with open arms;
• A modern working environment with a feel-good factor;
• Development opportunities that suit you;
• Flexible working hours, attractive benefits and of course lots of fun.