Artificial Intelligence Engineer
Vivid Resourcing
Ghent, Belgium
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
€ 72KJob location
Ghent, Belgium
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
C++
Cloud Computing
Nvidia CUDA
Decision Support Systems
Python
Knowledge Management
Machine Learning
Object Detection
OpenCV
TensorFlow
Sensor Fusion
SONAR (Symantec)
Reinforcement Learning
PyTorch
Large Language Models
Deep Learning
Generative AI
Kubernetes
Machine Learning Operations
Lidar
Data Pipelines
GNSS
Docker
Job description
- Develop and deploy machine learning and deep learning models for aerospace and defence applications, including computer vision, object detection, sensor fusion, target recognition, anomaly detection, predictive maintenance, and autonomous navigation.
- Design AI-powered perception systems for autonomous vehicles, drones, unmanned maritime systems, and robotic platforms.
- Develop Generative AI and Large Language Model (LLM) solutions to support mission planning, technical documentation, operational decision support, and knowledge management.
- Build robust data processing pipelines for LiDAR, radar, sonar, EO/IR cameras, satellite imagery, telemetry, GNSS, and other sensor data.
- Improve autonomy, situational awareness, mission planning, and real-time decision-making through advanced AI algorithms.
- Deploy, monitor, and optimize AI applications on cloud and edge computing platforms, ensuring reliable performance in mission-critical environments.
Requirements
- 2-8 years of experience in AI Engineering, Machine Learning Engineering, Robotics, Computer Vision, or Data Science.
- Strong Python development skills with experience in PyTorch or TensorFlow.
- Experience deploying machine learning models into production environments.
- Hands-on experience with one or more of:
- Computer Vision
- Deep Learning
- Sensor Fusion
- Reinforcement Learning
- Autonomous Systems
- Robotics
- Large Language Models (LLMs)
- Experience processing large-scale sensor or telemetry datasets.
- Familiarity with cloud technologies (AWS, Azure, or GCP), Docker, Kubernetes, and MLOps practices.
- Experience with ROS/ROS2, C++, CUDA, OpenCV, SLAM, or NVIDIA Jetson is considered a strong advantage.
- Experience in Aerospace, Defence, Robotics, Maritime, Automotive, Industrial AI, or Autonomous Systems is highly desirable.
Benefits & conditions
- Opportunity to develop cutting-edge AI solutions for autonomous and mission-critical systems.
- Work on real-world applications involving robotics, drones, maritime autonomy, defence technologies, and intelligent sensing.
- Competitive salary of up to €6,000/month, depending on experience.
- Company car or mobility budget.
- 13+ ADV days.
- Clear progression towards Senior AI Engineer, Technical Lead, AI Architect, or Robotics AI Lead.
- Collaborative engineering environment focused on innovation, research, and advanced AI technologies