Senior Machine Learning Engineer
hace 4 días
About the Role:
Kapsch Trafficcom Transportation Sa. is seeking a highly skilled Senior Machine Learning Engineer to lead data-related initiatives and be a technical referent for the team. As a Senior Machine Learning Engineer, you will design and build ML services to power our data products, enabling data-driven decisions to improve traffic safety and prediction accuracy.
Key Responsibilities:
• Design and build ML services to power our data products
• Develop, train, and test ML models to perform information retrieval and forecast analysis for the mobility and traffic data domain
• Analyze use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisions
• Enrich existing ML frameworks and libraries
• Productize training models and package them into independent software services
• Continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality; automate what is not
Requirements:
• Bachelor's Degree / Master's Degree / PhD in Computer Science, Maths, Physics, or related fields
• At least 7 years of experience in a data-related field with a special focus on productizing AI solutions
• Solid knowledge of Machine Learning and Deep Learning, with experience in building up machine learning training and release pipelines
• Experience with probabilistic models and classification models
• Hands-on experience with tools like TensorFlow, Keras, XGBoost, Scikit-learn, PyTorch, AutoML
• Solid experience with Python
• Knowledge of SCRUM/SAFe methodology
• Experience with cloud technologies
• Analytical mindset and solution-driven personality
• Practice and live the agile mindset
• Good oral and written English
Our Offer:
A market-compliant gross salary in line with your qualifications and 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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