Machine Learning Engineer (all genders)

Effective Field

• 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.
• 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 and its ML ecosystem (scikit‑learn, Tensor
  Flow, Py
  Torch), 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 micro‑service design, monitoring tools (Splunk, Prometheus, Grafana), and engineering best practices such as CI/CD pipelines, Git, automated testing, and agile methodologies.
• Data & Generative AI: Practical knowledge of data quality, relational/No
  SQL databases; experience with Gen
  AI frameworks (e. g. , Lang
  Chain, 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Business Consulting and Services

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