Deep Learning engineer researcher – H/F

A propos de nous

A French company of Chartered Surveyors founded in 1968 in Nantes, GEOFIT is now a key player in the development of territories and cities, bringing together over 1,400 employees across its subsidiaries.

Our core business involves measuring, quantifying, and analyzing geospatial data to transform it into effective decision-making tools. Relying on its committed teams, GEOFIT contributes daily to supporting and securing urban and land development projects in France and worldwide.

Recognized with an RSE (Corporate Social Responsibility) label, the Group adopts a responsible strategy to ensure sustainable performance while fully considering the impacts of its decisions.

It is particularly committed to promoting employment and inclusion for people with disabilities.

Within GEOFIT, the Innovation department develops AI solutions for different areas such as Earth observation, urbanism, land use planning, or infrastructure monitoring and benefits from the data acquisition capacity of the group as well as the expertise of its different departments.

As part of its growing process, we are looking for a Deep Learning engineer/researcher for our Innovation department located in Nantes.

Votre mission, si vous l’acceptez

As a Deep Learning engineer/researcher, you will:

1. Develop innovative solutions based on the latest AI breakthroughs
2. Adapt state of the art algorithms to solve practical problems
3. Exchange with the different group departments and clients
4. Actively follow the domain evolution and technologies

Why join us?

• To take a strategic post in a continually evolving structure.
• To take part in stimulating projects.
• To join a warm and open-minded team.
• To blossom in a modern and bright work environment.
• To evolve independently within a company that will trust you.

The team?

Our Innovation team is based at the headquarters in Nantes, employing an overall 250 people. Our team will be glad to welcome you if you decide to join the adventure.

Composed of people from different horizons such as astrophysicists, geologists, surveyors, data scientists, and developers, we work on various topics:

• Artificial intelligence
• Photogrammetry
• Image processing (satellite, aerial, terrestrial)
• LiDAR point cloud processing
• Geospatial data production

The members of the team develop innovative solutions based on the latest technological advances and well-known frameworks in 2D and 3D data processing (Python, Pytorch/3D, OpenCV, Gitlab, MLFlow, …).

Le profil idéal

You have an engineering degree or a master’s degree in the field of applied mathematics, geospatial data, artificial intelligence, or computer science.

Qualifications for this position include strong knowledge in the following areas:

• Artificial Intelligence, Machine Learning, Deep Learning
• Data processing and analysis (images, point clouds)
• Good level of programming (at least Python)
• Libraries like Pytorch, Numpy, Pandas, and Jupyter, Conda, Gitlab environments

Soft skills expected:

• Autonomy and Initiative
• Team player, Rigorous, Investment
• Curiosity, Motivation

The PACKAGE at GEOFIT

Working hours and flexibility:

• RTT (Reduced working hours)
• Teleworking agreement

Quality of Life and Work agreement

• Modern and comfortable work environment
• Training opportunities
• Close-proximity management

Bonuses and various benefits

• Profit-sharing bonus
• End-of-year bonus
• Vacation bonus
• Incentive plan agreement
• 50% reimbursement of public transportation costs
• Soft mobility charter

Employee Benefits Program (CSE)

• Organization of social events/outings
• Access to the CSE platform: discounted tickets/vacation offers
• Gift cards/Holiday gift baskets
• Partnerships and contests

Company health insurance

The Recruitment Process:

After applying, Jessy will review your application.

The steps are as follows:
• Phone screening
• Interview with the department manager
• Testing/reference checks
• Feedback on your application
• Launch of the onboarding program

Tempted by the experience? Apply now!

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