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.