Machine Learning Engineer - Mobility Data Platform

Machine Learning Engineer - Mobility Data Platform MadridFull time 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 ResponsibilitiesYou design and build ML services to power our data products enabling data-driven decisions to improve traffic safety and prediction accuracyYou develop, train and test ML models to perform information retrieval and forecast analysis for mobility and traffic data domainUsing large data-sets to develop algorithms capable of learning and eventually making predictionsAnalyzing use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisionsEnriching existing ML frameworks and librariesYou productize training models and package them into independent software servicesYou continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality, you are automating what is notContribution to software development in close collaboration with the teamYour profileBachelor Degree in Computer Science or related (we will also consider equivalent practical experience)Experience in product development of ML related products and solutionsSolid understanding of ML algorithms, proficient in math and statisticsProficient experience with programming languages and data toolsHands-on with Python, NumPy, Pandas, Matplotlib, scikit-learn, model/code-testingExperience in building up machine learning train and release pipelinesAnalytical mindset and solution driven personalityYou practice and live the agile mindsetGood oral and written EnglishKnowledge of time series and geo-dataExperience with Tensorflow, Keras, R, JupyterKnowledge of data version control and ML-metadataPractical knowledge of CI/CD toolsGood to have: Java, Spark, Flink, CloudOur offer:Permanent roleHybrid working model (3 days of remote work/week)#J-18808-Ljbffr