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Contractual Artificial Intelligence Machine Learning information
What is the difference between Contractual Artificial Intelligence Machine Learning vs Data Scientist?
| Aspect | Contractual Artificial Intelligence Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Relevant degrees in CS, AI, ML; certifications in AI/ML tools | Degrees in CS, Statistics, Data Science; certifications in data analysis |
| Work Environment | Project-based, contractual roles often with tech firms or consultancies | Full-time or contract roles in various industries, including tech, finance, healthcare |
| Industry Usage | Primarily in AI/ML development projects, automation, and software firms | Data analysis, modeling, and insights across multiple sectors |
Contractual Artificial Intelligence Machine Learning specialists focus on developing AI and ML models on a contractual basis, often within tech or consulting firms. Data Scientists analyze data to generate insights, working across industries. While both roles require technical skills, AI/ML roles emphasize model development, whereas Data Scientists focus on data analysis and interpretation.
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For Contractual Artificial Intelligence Machine Learning jobs in Michigan, the most frequently searched job titles are:
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Job description
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
About Eccalon
Sourced by ZipRecruiter
We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
Hanover, MD, US
Year founded
2017