Machine Learning Engineer Madrid Full time 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.This recruitment process is for an international team, so please submit your resume in English.We are looking for a Machine Learning Engineer to join our team!Your Responsibilities:You design and build software 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/Master Degree in Software Engineering or equivalent practical experience.At least 2 years of experience in product development of ML related software solutions.Solid understanding of ML algorithms, proficient in math and statistics.Proficient experience with programming languages and data tools.Hands-on with Python, Java, Gitlab/Github, Cloud Computing.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, geo-data, data version control. Experience with Tensorflow, Airflow, Streamlit, Jupyter. Practical knowledge of CI/CD tools.Our Offer to you:A market compliant gross salary in line with your qualifications and your job experience.Permanent role.Hybrid working model (3 days of remote work/week).30 business days of annual leave.Flexible remuneration plan: transport card, restaurant card, private medical care, etc.Challenging the limits of mobility for a healthy world without congestion.A hands-on onboarding with an experienced team in an international working environment.Ongoing professional education and training measures.
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