We are looking for a Senior Machine Learning Engineer to lead data related initiatives and be a technical referent for the team. If you have a proficient background in information technology with a specific focus on ML and DL related to Data Science / Engineering, 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 the 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.
* Contributing to software development in close collaboration with the team.
Your Profile
* 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 machine learning train 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.
* You practice and live the agile mindset.
* Good oral and written English skills.
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 per 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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