10 hours ago
Base Salary
$100k - $120k/yr
Responsibilities
- Install, configure, and calibrate smart cameras for human detection in restricted manufacturing areas.
- Train, optimize, and deploy object-detection models on AXIS ACAP edge hardware.
- Build and maintain containerized software on Linux using Git-based workflows and automated build, test, and deployment processes.
- Collaborate with controls engineers to translate detection events into machine signals and validate end-to-end behavior.
- Monitor field model performance, collect edge cases, and iterate on datasets and models.
- Travel regularly to client manufacturing sites.
Requirements
- Bachelor's degree completed or in progress in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong programming fundamentals, Python proficiency, and working knowledge of C/C++.
- Solid Linux experience, including command-line tools, services, logs, and networking basics.
- Hands-on Docker experience with images, Compose, volumes, and container troubleshooting.
- Familiarity and experience with Git-based CI/CD and GitOps practices.
- Coursework or project experience in computer vision or deep learning.
- Preferred experience with PyTorch, TensorFlow, OpenCV, YOLO, SSD, TFLite, ONNX, quantization, and edge hardware such as AXIS ACAP, NVIDIA Jetson, Coral, or Raspberry Pi.
- Preferred understanding of industrial controls including PLCs, digital I/O, Modbus, OPC-UA, machine safety, IP cameras, RTSP video streaming, or network configuration.
- Prior internship, research, or hands-on hardware or IoT project experience is preferred.
- Strong communication skills and comfort working directly with client engineering teams.
Benefits
- Full-time position with benefits.
- Regular travel to client manufacturing sites is required.
- Base compensation is provided as a range of $100,000-$120,000, excluding this benefits summary.
About Reply
Reply [EXM, STAR: REY] specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of AI, big data, cloud computing, digital media and the internet of things. Reply delivers consulting, system integration and digital services to organisations across the telecom and media; industry and services; banking and insurance; and public sectors.