Artificial Intelligence Engineer

Vivid Resourcing Ltd

Oost-Vlaanderen

Hybride

EUR 61 000 - 73 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Hybrid work in Ghent
Company car or mobility budget
12+ ADV days
Clear progression into Senior Robotics

Résumé du poste

Vivid Resourcing Ltd in Ghent is seeking an experienced AI Engineer to shape the future of robotic and autonomous systems. You will design and deploy AI/ML solutions for perceptual systems and real-time robotics, using PyTorch, ROS2 and other tools.

Hybrid role with Ghent offices and a competitive salary up to €6,000 per month. You will have opportunities to advance into senior robotics and AI leadership roles as part of a collaborative engineering team.

Qualifications

  • 2–8 years of experience in AI Engineering, Machine Learning, Computer Vision, Robotics, Data Science, or a related discipline.

Responsabilités

  • Design, build, and deploy production-ready AI and machine learning solutions for robotic and autonomous systems.

Connaissances

AI Engineering
Machine Learning
Computer Vision
Robotics
Data Science
Edge computing
PyTorch
TensorFlow
OpenCV
ROS/ROS2
Docker
Linux

Outils

ROS/ROS2
Docker
Linux
Gazebo
TensorRT
NVIDIA CUDA

Description du poste

Working as an AI Engineer in Ghent, you'll be responsible for shaping the future of intelligent robotics and autonomous systems. You'll help build robotic platforms that can perceive, understand, and interact with their environments using the latest advances in computer vision, machine learning, generative AI, sensor fusion, and autonomous decision-making.

Responsibilities
  • Design, build, and deploy production-ready AI and machine learning solutions for robotic and autonomous systems.
  • Develop perception and intelligence systems using computer vision, deep learning, sensor fusion, reinforcement learning, and generative AI.
  • Build intelligent robotic systems capable of navigation, object detection, manipulation, inspection, and autonomous decision-making.
  • Develop and integrate AI models for cameras, LiDAR, radar, IMU and other robotic sensors.
  • Engineer data pipelines and training workflows for large-scale robotics datasets, including images, video, sensor data, trajectories, and robot telemetry.
Your Profile
  • 2–8 years of experience in AI Engineering, Machine Learning, Computer Vision, Robotics, Data Science, or a related discipline.
  • Experience building and deploying machine learning models in production environments.
  • Strong understanding of deep learning, computer vision, robotics or autonomous systems.
  • Experience working with structured and unstructured sensor or behavioural data.
  • Familiarity with PyTorch, TensorFlow, OpenCV, ROS/ROS2, Docker and Linux.
  • Understanding of robotic perception, localisation, mapping, planning or control is highly valuable.
  • Experience working with real-time AI inference or edge computing is an advantage.
Nice to Have
  • Experience with ROS2, Gazebo, Isaac Sim or other robotics simulation platforms.
  • Experience with NVIDIA CUDA, TensorRT, Jetson or other edge-AI platforms.
  • Knowledge of SLAM, visual odometry, object detection, object tracking or 3D perception.
  • Experience with LiDAR, depth cameras, stereo vision, radar or sensor fusion.
  • Familiarity with reinforcement learning, imitation learning or autonomous-agent architectures.
  • Experience with LLMs, Vision-Language Models (VLMs) or Vision-Language-Action (VLA) models for robotics.
  • Experience working with robotic manipulators, AMRs, AGVs, drones or autonomous vehicles.
The Offer
  • Hybrid working model with offices based in Ghent.
  • Opportunity to build cutting-edge AI and robotics products used in real-world industrial and commercial environments.
  • A collaborative engineering environment focused on innovation, experimentation and continuous learning.
  • Competitive salary of up to €6,000/month, depending on experience and interview performance.
  • Company car or mobility budget.
  • 12+ ADV days.
  • Clear progression opportunities into Senior Robotics Engineer, Lead AI Engineer, Robotics Architect, Head of AI, or Robotics Engineering leadership roles.
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