AI Expert Robotics - onsite

Eccalon, LLC

Detroit, MI, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Computer Vision C++ (Programming Language) Computer Programming Document Management Systems Middleware Python (Programming Language) Kinematics Machine Learning Tensorflow Robotic Automation Software Sensor Fusion

+8 more

Software Engineering Systems Integration Reinforcement Learning Pytorch Mobile Robots Deep Learning Scikit Learn Information Technology

Job description

Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control
Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems
Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications
Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system integration
Train, evaluate, and deploy ML models in real-world robotic environments
Support simulation, testing, validation, and field deployment of AI-enabled robotic systems
Analyze system performance and continuously improve autonomy, accuracy, and reliability
Document system architectures, models, and technical designs
Stay current with emerging AI, ML, and robotics technologies and best practices

Requirements

Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field
5+ years of experience in AI/ML and robotics development
Strong programming experience in Python and/or C++
Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience working with robotic systems, sensors, and actuators
Solid understanding of robotics fundamentals including kinematics, controls, and perception
Experience deploying AI models to production or real-world environments, * Master’s degree or PhD in AI, Robotics, or a related discipline
Experience with ROS / ROS2 and robotic middleware
Background in autonomous systems, mobile robots, or robotic arms
Experience with computer vision, deep learning, or reinforcement learning
Familiarity with simulation environments (e.g., Gazebo, Isaac Sim)
Experience supporting government, defense, or regulated programs
Ability to obtain and maintain a security clearance if required by contract