Machine Learning 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

Job location

Ghent, Belgium

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Cloud Computing
Global Positioning Systems (GPS)
Python
Machine Learning
Motion Planning
Object Detection
TensorFlow
Sensor Fusion
Reinforcement Learning
Feature Engineering
PyTorch
Scikit Learn
Machine Learning Operations
Lidar

Job description

  • Develop and deploy machine learning models for autonomous systems, including perception, object detection, tracking, localization, mapping, path planning, and sensor fusion
  • Build scalable ML infrastructure and pipelines for training, evaluation, simulation, deployment, and monitoring of robotic AI systems
  • Design data preprocessing and feature engineering workflows for multimodal datasets including camera, LiDAR, radar, IMU, GPS, and other sensor streams
  • Develop intelligent perception and decision-making systems enabling robots and autonomous vehicles to operate safely in dynamic environments
  • Work closely with robotics, software, and hardware teams to integrate ML models into real-time robotic platforms

Requirements

  • 2-6+ years of experience in Machine Learning Engineering, Robotics AI, Computer Vision, or related fields
  • Strong proficiency in Python
  • Hands-on experience with PyTorch, TensorFlow, JAX, or Scikit-learn
  • Experience building, deploying, and maintaining ML systems in production
  • Experience with computer vision, sensor fusion, robotics perception, reinforcement learning, SLAM, localization, or motion planning is highly desirable
  • Familiarity with robotics frameworks such as ROS/ROS2
  • Experience working with camera, LiDAR, radar, IMU, GPS, or other sensor data
  • Experience with cloud infrastructure such as AWS, Azure, or GCP
  • Passion for autonomous systems, robotics, intelligent machines, and real-world AI applications

Benefits & conditions

  • Hybrid working model
  • Opportunity to contribute to cutting-edge autonomous systems and robotics products deployed in real-world environments
  • Collaborative environment with a strong focus on innovation, experimentation, and applied AI
  • Competitive salary package depending on experience
  • Company car or flexible mobility budget
  • Additional leave days and comprehensive benefits package
  • Clear progression path toward Senior ML Engineer, Robotics Engineer, Technical Lead, or AI Architect roles
  • Opportunity to work on state-of-the-art technologies including computer vision, sensor fusion, robotics, reinforcement learning, and autonomous navigation

About the company

We're working with an innovative Robotics and Autonomous Systems company that develops AI-driven technologies for intelligent machines operating in complex real-world environments. They are seeking a Machine Learning Engineer to build and deploy scalable ML solutions that power perception, navigation, decision-making, and autonomous behavior across advanced robotic platforms.

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