Job Description

Akkodis is seeking a AI/Computer Vision Engineer onsite in Warren, MI. This position requires onsite someone who has experience with testing and also has an active github account. We are hiring multiple positions from Junior SW QA Tester, Sr. SW QA Testers, Automation Engineers and Sr. Automation Engineers.

The pay range is $40 - $45 an hour on a W2 contract + benefits that starts off with end date of 12/31/2026 but may be extended or even convert to permanent hire. No C2C.

Job Description

We are looking for an innovative AI/Computer Vision Engineer to join our team. You will be responsible for developing and optimizing algorithms that enable cobot manipulator to perform advanced tasks such as object detection, obstacle avoidance, inventory tracking, and path optimization. This role involves a combination of artificial intelligence, machine learning, and computer vision techniques applied to real-world scenarios in dynamic warehouse and manufacturing environments.

As part of the team, you will collaborate closely with robotics, software, and control systems engineers to ensure seamless integration of vision and AI-based solutions into our robotics systems. Your work will play a critical role in advancing the capabilities of our robots to navigate complex environments and carry out tasks with precision and efficiency.

Key Responsibilities:

• Design, develop, and implement computer vision and AI algorithms for segmentation, object detection, classification, localization, tracking, etc.
• Create and optimize AI models for warehouse-specific tasks such as inventory tracking, object picking, and path optimization.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for training and deploying machine learning models on embedded systems.
• Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots.
• Perform data collection, labeling, and preprocessing for training AI models.
• Optimize performance of AI models for resource-constrained environments, ensuring low-latency inference on embedded hardware.
• Collaborate with robotics engineers to integrate AI and vision systems with sensors (cameras, LIDAR, etc.) and control systems.
• Test and validate AI models in both simulation and real-world environments.
• Document the development process, algorithms, and results for scalability and implementation.

Hard Requirements:

• PhD (or Masters (thesis-based masters is preferred) with 3+ years of experiences) in Computer Science, Electrical Engineering, Robotics, or a related field.
• 3+ years experience in domain of AI/Deep Learning, perception, computer vision, localization for robotics applications.
• Evidence of strong problem-solving in a dynamic and challenging environment

Skills and Requirements:

• Education : PhD (or thesis-based master’s with 3+ years of experiences) in Computer Science, Electrical Engineering, Robotics, or a related field.
• Experience : 3+ years experience in domain of AI/ML, perception, computer vision, localization for robotics applications.
• AI and Machine Learning : Proficiency in developing and deploying AI/ML algorithms, including deep learning techniques for object detection and tracking.
• Computer Vision : Strong understanding of image processing, feature extraction, and 3D perception techniques.
• Software Development : Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
• Real-Time Systems : Experience with ROS (Robot Operating System) for real-time robotics applications and familiarity with deploying AI models on resource-constrained hardware and optimizing performance for real-time inference.
• Data Handling : Experience in data collection, labeling, and preprocessing for AI training.
• Problem Solving and Continuous Improvement : Strong analytical skills for developing solutions to emerging problems and always seek opportunities for self-growth and improvement.

Nice to Have (not requirement):

• Experience with SLAM (Simultaneous Localization and Mapping) and multi-sensor fusion for improved navigation and localization.
• Familiarity with point cloud processing for 3D environment understanding and obstacle detection.
• Experience with GPU programming and CUDA for accelerating AI model inference.
• Knowledge of cloud-based AI services for data processing, training, or deployment.
• Understanding of safety and compliance standards in industrial robotics and AI.
• Experience with robot arm and intel real-sense camera

If you are interested in this role, then please click APPLY NOW.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit .

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance

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