Artificial Intelligence Engineer

Vivid Resources

United States

20 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

$72,000.0

Working hours

Regular working hours

Job source

arc.dev

Tech stack

Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure C++ (Programming Language) Cloud Computing Nvidia CUDA Decision Support Systems Python (Programming Language) Knowledge Management Machine Learning Object Detection

+15 more

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