What are the responsibilities and job description for the AI Expert Robotics - onsite position at Eccalon, LLC?
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