AI Expert Robotics - onsite

Eccalon, LLC; Detroit (MI); On-site; USD 140,000 - 210,000; Full time

Job summary

Eccalon, LLC is seeking an AI Expert – Robotics to lead the design, development, and integration of AI/ML into robotic systems for mission-critical applications. The role requires deep expertise in AI/ML and hands-on robotics experience to build autonomous, adaptive solutions.

You will collaborate with cross‑functional teams, deploy models to production, and stay current with evolving technologies. A strong foundation in Python/C++, robotics fundamentals, and real-time systems is essential.

Qualifications

• Bachelor’s degree in robotics, CS, AI, or engineering.
• 5+ years in AI/ML and robotics development.
• Strong Python and/or C++ programming.
• Hands-on with ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Experience with robotic systems, sensors, and actuators.
• Solid understanding of robotics fundamentals (kinematics, controls, perception).
• Experience deploying AI models to production or real-world environments.

Responsibilities

• Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control
• Integrate machine learning and AI 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 for 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

Skills

Python

C++

AI/ML

Robotics

TensorFlow

PyTorch

ROS/ROS2

Computer vision

Perception

Education

Bachelor's in Robotics

Master's in AI/Robotics

PhD in AI/Robotics

Tools

ROS/ROS2

Job description

The AI Expert – Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands‑on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission‑critical applications.

Responsibilities

• 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

Required Qualifications

• 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

Preferred Qualifications

• 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