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Machine learning engineer

Gand
Vivid Resourcing
Publiée le 17 mai
Description de l'offre

As a Machine Learning Engineer in the robotics industry, you will be responsible for developing and deploying intelligent ML solutions which enhance robotic systems, autonomous decision-making, and industrial automation across environments such as smart manufacturing, warehouse automation, autonomous vehicles, and robotic platforms.

Responsibilities

Design, develop, and deploy machine learning models for robotics use cases such as autonomous navigation, object detection, robotic vision, anomaly detection, predictive maintenance, and motion optimization

Build and maintain scalable ML pipelines for training, validation, simulation, and real-time inference in robotic environments

Implement robust data preprocessing, sensor fusion, feature engineering, and transformation workflows tailored to robotics and IoT data

Collaborate with robotics engineers, software engineers, embedded engineers, and data teams to integrate ML solutions into robotic systems

Develop and optimize computer vision and perception systems using technologies such as cameras, LiDAR, radar, and depth sensors

Contribute to MLOps practices including CI/CD, model versioning, reproducibility, monitoring, and observability

Your Profile

2–6+ years of experience as a Machine Learning Engineer or similar role

Strong programming skills in Python

Experience with ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience building and deploying ML pipelines in production environments

Familiarity with robotics frameworks and tools such as ROS/ROS2, OpenCV, or NVIDIA Isaac is a strong plus

Experience with computer vision, sensor fusion, SLAM, or autonomous systems

Familiarity with data engineering concepts including ETL/ELT workflows, streaming pipelines, and IoT/sensor data processing

Experience with cloud platforms such as AWS, Azure, or GCP

The Offer

Hybrid environment with the office based in Ghent

Opportunity to work on cutting-edge robotics and autonomous technologies with real-world impact

Strong focus on technical growth, experimentation, and applied AI research

Full package including company car/mobility options

+13 ADV days

Up to €6k dependent on experience/interview process

Opportunity to grow within the company into a lead position

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