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Capgemini Engineering
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Robotics-Computer Vision Researcher | Automotive
Belgium
· Full-time
·
Associate
About The Job
Joining Capgemini Engineering means becoming part of a global organization that drives innovation and growth. With over 55 years of experience, a presence in 30 countries, and more than 55 000 employees, we offer an environment where you can elevate your career to new heights. And that’s not all! As a Robotics | Computer Vision Researcher, you will play a pivotal role in contributing to research and technology transfer projects in the areas of machine learning and computer vision for robotics.
Capgemini Engineering: Get The Future You Want
Your Responsibilities
In this role, you will be responsible for:
At Capgemini Engineering, We’re Looking For Someone Who
Strong communication skills: You can convey complex ideas clearly and persuasively.
Teamwork: You excel at collaborating and building meaningful relationships.
Organizational talent: You maintain oversight and prioritize effectively in a dynamic environment.
Problem-solving ability: You think creatively and tackle challenges proactively.
What We Offer
At Capgemini Engineering, we offer more than just a job:
Our Recruitment Process Includes The Following Steps
Joining Capgemini Engineering means becoming part of a global organization that drives innovation and growth. With over 55 years of experience, a presence in 30 countries, and more than 55 000 employees, we offer an environment where you can elevate your career to new heights. And that’s not all! As a Robotics | Computer Vision Researcher, you will play a pivotal role in contributing to research and technology transfer projects in the areas of machine learning and computer vision for robotics.
Capgemini Engineering: Get The Future You Want
Your Responsibilities
In this role, you will be responsible for:
- Collaborating with diverse teams to develop and implement innovative computer vision and machine learning solutions for robotics applications.
- Actively contributing to the success of projects by creating and tuning deep neural networks and deploying them in real-world scenarios.
- Building strong, sustainable relationships with internal and external stakeholders.
- Analyzing complex challenges in computer vision, including object detection, tracking, person detection, pose estimation, and 6D pose estimation, and finding efficient, innovative solutions.
- Contributing to the development and deployment of foundation models and large vision models, including multi-modal models.
At Capgemini Engineering, We’re Looking For Someone Who
- Has a passion for robotics, computer vision, and deep learning.
- Brings experience in computer science, physics, engineering, or mathematics, with research experience and mindset (PhD or Research Master preferred).
- Possesses expertise in classical and modern computer vision algorithms, foundation models, and large vision models.
- Is proficient in Python, with experience in PyTorch, OpenCV, and related tools; familiarity with C++ and TensorRT is a plus.
- Demonstrates practical and pragmatic problem-solving skills for real-world applications.
- Is familiar with technologies such as Linux, Docker, Git, HPC, and ROS1/ROS2.
Strong communication skills: You can convey complex ideas clearly and persuasively.
Teamwork: You excel at collaborating and building meaningful relationships.
Organizational talent: You maintain oversight and prioritize effectively in a dynamic environment.
Problem-solving ability: You think creatively and tackle challenges proactively.
What We Offer
At Capgemini Engineering, we offer more than just a job:
- A full-time position with attractive secondary benefits.
- A competitive salary package, including a company car, laptop, meal vouchers, bonus system, and more.
- Training and development: Access to courses and certifications to enhance your skills.
- Flexibility: A hybrid work model that supports work-life balance.
- Regular company outings and events to celebrate success together.
Our Recruitment Process Includes The Following Steps
- A first screening via phone
- An initial interview with a Talent Acquisition Professional.
- A discussion with one of our People Managers to ensure the right fit.
- A meeting with our Technical Colleagues to assess your skills and experience.
Key Skills
Ranked by relevance
computer vision
machine learning
neural networks
pytorch
python
docker
linux
excel
git
c
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- Posted
- Dec 30, 2024
- Type
- Full-time
- Level
- Associate
- Location
- Zaventem
- Company
- Capgemini Engineering
Industries
Motor Vehicle Manufacturing
IT Services
IT Consulting
Categories
Engineering
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