Kapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future.

We are looking for Machine Learning Engineer. If you have a proficient background in information technology with a specific focus on ML related to Data Science/Engineering and you´re passionate about mobility and traffic data in this field, apply for the role and grow with us!

Your Responsibilities

• You design and build ML services to power our data products enabling data-driven decisions to improve traffic safety and prediction accuracy
• You develop, train and test ML models to perform information retrieval and forecast analysis for mobility and traffic data domain
• Using large data-sets to develop algorithms capable of learning and eventually making predictions
• Analyzing use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisions
• Enriching existing ML frameworks and libraries
• You productize training models and package them into independent software services
• You continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality, you are automating what is not
• Contribution to software development in close collaboration with the team
  
  

Your profile

• Bachelor Degree in Computer Science or related (we will also consider equivalent practical experience)
• Experience in product development of ML related products and solutions
• Solid understanding of ML algorithms, proficient in math and statistics
• Proficient experience with programming languages and data tools
• Hands-on with Python, NumPy, Pandas, Matplotlib, scikit-learn, model/code-testing
• Experience in building up machine learning train and release pipelines
• Analytical mindset and solution driven personality
• You practice and live the agile mindset
• Good oral and written English
  
  

Desirable

• Knowledge of time series and geo-data
• Experience with Tensorflow, Keras, R, Jupyter
• Knowledge of data version control and ML-metadata
• Practical knowledge of CI/CD tools
• Good to have: Java, Spark, Flink, Cloud
  
  

Our Offer

• Permanent role
• Flexible working hours
• Hybrid working model (3 days of remote work/week)
• 29 business days of annual leave
• Flexible remuneration plan