Edge AI/Computer Vision Engineer
Compensation
$100k – $120k /yr
Employment type
Full-time
Work setting
On-site
Location
Chicago, IL
Schedule
Day shift
Posted
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Job overview
The Edge AI/Computer Vision Engineer role is onsite in Chicago, IL, with regular travel to client manufacturing sites. Compensation is $100,000–$120,000 per year. Concept Reply supports customers with Internet of Things and cloud-computing solutions, including industrial safety applications. The engineer deploys AI-driven computer vision systems for industrial safety, working with the data and AI engineering team and client controls engineers. The work includes configuring cameras and edge models, integrating detection events with machine signals, and improving model performance using field observations.
What you'll do
- Install, configure, and calibrate smart cameras at manufacturing sites
- train, optimize, and deploy object-detection models on edge hardware
- build and maintain containerized Linux software using GitOps workflows
- collaborate with controls engineers to translate detection events into machine signals and validate end-to-end behavior
- monitor field performance, collect edge cases, and iterate on datasets and models.
What we're looking for
- Skills & competencies
- edge aicomputer vision engineerindustrial safetyobject detectionpythonlinuxdockergitopschicago ilreply$100k–$120k
- Work arrangement
- Weekend coverage required
Benefits & perks
- Benefits are offered in addition to base compensation
- specific benefits are not detailed in the posting.
Why this role
Bachelor's degree completed or in final year in a related field; Python proficiency, working knowledge of C/C++, Linux, Docker, Git-based CI/CD, and computer vision or deep-learning project experience required; regular client-site travel required.
About the employer
Reply is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Computer Systems Design Services
- Occupation code
- 17-2061.00
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Listing ID: d324a83b-473e-4d2d-94a2-4b8872488e31