A global leader in engineering and technology, delivering innovative solutions in mobility, industrial systems, consumer products, and energy efficiency. With a strong commitment to sustainability and smart technologies, the company drives progress that improves everyday life. Join a collaborative and forward-thinking environment where your ideas and growth matter.
Tasks :
- Will be part of the global Data Science team : the team has 18 members, and 1 new position is open locally in Budapest, working in collaboration with Stuttgart.
- Will provide artificial intelligence solutions for internal clients.
- Responsible for the development and operation of existing cloud-based solutions.
- Close collaboration with internal clients and an international team of developers and data scientists.
- Identifying and exploring machine learning use cases / solutions.
Requirements
MSc degree in one of the following fields : Computer Science, Data Science, Mathematics, Statistics, Physics, Bioinformatics, or other related areas.At least 3 years of professional experience in artificial intelligence engineering.Expert-level Python programming skills, with a clean code mindset.Experience in deploying ML (machine learning) and DL (deep learning) models into production environments.Experience with MLOps (Machine Learning Operations) : automated model training and monitoring.High proficiency in using Docker, Kubernetes, MLflow, Azure DevOps, GitHub Actions, and Jenkins.Experience in developing web APIs in Python.In-depth understanding of ML workflows (training, fine-tuning, inference, monitoring).Solid practical knowledge of ML / DL areas such as regression, classification, anomaly detection, time series forecasting, clustering, pattern recognition, and data mining.Benefits
Annual corporate bonus (up to 10% of the annual gross salary).Cafeteria allowance (gross HUF 450,000 / year).Additional paid leave and benefits for life events.Language learning opportunities (primarily English and German).Participation in professional or soft-skill training programs.Commuting cost reimbursement.Home office support.