Machine Learning Engineer - Mobility Data Platform

Kapsch TrafficCom develops smart solutions to make mobility safer, more sustainable and efficient for everybody. We design, build and operate traffic management systems including connected vehicles technology and mobility demand management as well as tolling services for cities, roads, tunnels and bridges around the world. We develop data and video analytics platforms, building on state-of-the-art technologies including AI, Machine Learning, big data and cloud services to enable the digitalization of mobility.

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