Sr. Manager, Data Science developing advanced planning strategies for logistics at CarMax. Leading a team of data scientists to optimize vehicle movement and operational efficiency.
GS
Hybrid Senior Data Scientist – Computer Vision
Posted last month
About the role
- Design, train and validate object detection and tracking models (YOLO, R-CNN, etc.)
- Work on the scalability and robustness of image processing pipelines
- Participate in productionizing models through MLOps workflows
- Collaborate with Data Engineering and DevOps teams for industrialization and cloud/edge deployment
- Contribute to technology watch on deep learning architectures and vision frameworks
- Ensure the quality, reproducibility and documentation of experiments conducted
Requirements
- Degree from an engineering school or equivalent (Master’s/PhD) in Computer Science, Applied Mathematics or AI
- At least 5 years of experience in applied Computer Vision
- Proficient with a Deep Learning framework (PyTorch, TensorFlow, or equivalent)
- Strong experience with object detection and tracking models (YOLO, Faster R-CNN, RetinaNet, etc.)
- Experience handling or fine-tuning a vision–language model (VLM) such as CLIP, Gemini, GPT-4, Mistral or equivalent, with an understanding of their limitations and use cases
- Proficient in Python and development best practices (testing, version control, packaging)
- Knowledge of MLOps principles and industrialization of AI models (monitoring, deployment, data pipelines)
Benefits
- Hybrid in Paris: 3 days in the office, 2 days remote per week
- Cadre employment contract and RTT (between 8 and 12 days off per year depending on public holidays)
- A Mac or PC according to your preference
- 60% contribution to meal vouchers valued at €9 per working day
- €50/month training budget contribution
- Comprehensive health insurance (Alan)
- Offices located in central Paris (3rd arrondissement)
- Annual offsite with the whole team and numerous company events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
WB
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