Computer Vision Engineer

Job Title: Computer Vision Engineer

We are seeking a hands-on Machine Vision & Edge AI Engineer to design, deploy, and sustain production-grade computer vision systems across high-volume manufacturing lines.

What You’ll Be Doing

Model Development & Training Acceleration

• Design and implement computer vision models for defect detection, segmentation, and classification
• Accelerate model training using synthetic data, active learning, and domain randomization
• Improve coverage of rare defects and specification variance
• Develop robust augmentation pipelines to reduce training time and increase generalization

Production Deployment

• Containerize models and services using Docker
• Manage deployments with Kubernetes or equivalent orchestration tools
• Implement version control, rollback strategies, and observability
• Monitor latency, drift, false positives/negatives, and inspection performance metrics

Edge Optimization

• Optimize inference for edge and embedded systems (e.g., NVIDIA Jetson, Intel accelerators)
• Meet strict real-time latency requirements for moving-line inspection
• Ensure stability under varying lighting, optics, and surface conditions

Manufacturing Systems Integration

• Integrate vision systems with PLCs, encoders, and industrial triggers
• Utilize industrial protocols such as OPC-UA, MQTT, REST

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• Align deployments with plant-level architecture standards (ICS+, GALC, TVIP)
• Ensure secure, reliable connectivity in industrial environments

Data Strategy & Quality Control

• Lead data collection campaigns and annotation workflows
• Establish quality gates for model validation
• Manage full ML lifecycle: rollout, monitoring, retraining
• Conduct root cause analysis for inspection failures

Reliability & Sustainment

• Maintain uptime and availability targets
• Implement drift detection and false-out risk audits
• Support calibration and measurement system analysis (MSA)
• Develop backup and recovery procedures

Required Qualifications

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Computer Science, IT, or related field
• 5+ years of experience in industrial machine vision and edge AI deployment
• Strong proficiency in Python and C++
• Experience with PyTorch, TensorFlow
• Hands-on experience with Docker & Kubernetes
• Familiarity with ONNX Runtime, TensorRT, and embedded optimization

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• Experience integrating vision systems with PLCs using OPC-UA, MQTT
• Experience managing the full ML lifecycle
• Familiarity with object detection, segmentation (semantic & instance), and classification models
• Experience working with industrial cameras, optics, lighting, and trigger-based capture
• Ability to balance inspection accuracy with false-positive vs flow-out risk
• Ability to travel to North American Manufacturing Centers (including Canada & Mexico) and Japan

Preferred Qualifications

• Master’s Degree in Engineering or related field
• Experience with synthetic data generation (GANs, VAEs, NeRFs, Blender)
• Experience deploying automotive production equipment
• Background in robotics (operation, programming, safety)
• Experience with high-speed inline inspection systems
• Knowledge of IIoT data pipelines and industrial messaging standards
• Experience with PFMEA, quality control plans, and equipment deployment processes
• Academic research in emerging technologies

About Kyyba:

· Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.

· At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Disclaimer:

· Kyyba is an Equal Opportunity Employer.

· Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”

· It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665

Rewards:

· Medical, dental, vision

· 401k

· Term life

· Voluntary life and disability insurance

· Optional Pre-paid legal plan

· Optional Identity theft plan

· Optional Medical and dependent FSA

· Work-visa sponsorship

· Opportunity for advancement

· Long-term assignment with opportunity for hire by client

SELECT AWARDS:

· An INC 5000 company for 10 years

· Corp! Michigan Economic Bright Spots

· Crain’s Detroit Business Top Staffing Service Companies in Detroit

· TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions

· Best of MichBusiness winner in HR Wizards & Partnerships

· Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest

· 101 Best & Brightest Companies to Work for in Michigan