Edge AI/Computer Vision Engineer
Concept Reply US
Detroit Metropolitan AreaFresher4m agovia LinkedIn
About the Role
Concept Reply US is seeking an Edge AI/Computer Vision Engineer for an engagement deploying AI-driven computer vision for industrial safety. This role involves working with a data and AI engineering team and client's controls engineers on real, on-site deliverables.
Key Responsibilities
- Install, configure, and calibrate smart cameras at manufacturing sites for human detection in restricted areas.
- Train, optimize, and deploy object detection models on edge hardware (AXIS ACAP).
- Build and maintain the containerized software stack on Linux, managed through GitOps workflows.
- Collaborate with controls engineers to translate detection events into machine signals and validate end-to-end behavior.
- Monitor model performance in the field, collect edge cases, and iterate on datasets and models with growing autonomy.
Requirements & Tech Stack
- Strong foundation in programming fundamentals; proficiency in Python, working knowledge of C/C++.
- Solid Linux background (command line, services, logs, networking basics).
- Hands-on experience with Docker (images, Compose, volumes, container troubleshooting).
- Familiarity and experience with Git-based CI/CD and GitOps practices.
- Coursework or project experience in computer vision / deep learning.
- Willingness to travel regularly to client manufacturing sites.
Qualifications
- Bachelor's degree (completed or final year) in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience with CV/DL frameworks (PyTorch, TensorFlow, OpenCV) and object detection models (YOLO, SSD, or similar).
- Experience optimizing models for edge devices (TFLite, ONNX, quantization) on hardware such as AXIS ACAP, NVIDIA Jetson, Coral, or Raspberry Pi.
- Basic understanding of industrial controls (PLCs, digital I/O, Modbus, OPC-UA) and machine safety concepts.
- Experience with IP cameras, video streaming (RTSP), or network configuration.
- Prior internship, research, or hands-on hardware/IoT project experience.
- Strong communication skills; comfort working directly with client engineering teams.