Edge AI/Computer Vision Engineer

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 (Git as source of truth, automated build/test/deploy)
• Collaborate with controls engineers to translate detection events into machine signals (e.g., stop a machine when a person is too close) and validate end-to-end behavior
• Monitor model performance in the field, collect edge cases and iterate on datasets and models, with growing autonomy over the engagement

Minimum Requirements

Preferred Qualifications

• 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
• Additional information
• About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $100,000-$120,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.

Additional information