Senior Machine Learning
hace 4 semanas
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 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, automating what is not.
- Contribution to software development in close collaboration with the team.
Your Profile
- Bachelor Degree / Master Degree / PhD in Computer Science, Maths, Physics or related.
- At least 7 years of experience in data related field with special focus on productizing AI solutions.
- Solid knowledge of Machine Learning and Deep Learning field, experience in building up 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.
- Analytical mindset and solution-driven personality.
- Good oral and written English.
Our Offer
- 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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