Computer Vision Engineer / AI ML Developer/Engineer

Realign Llc; Minneapolis (MN); On-site; USD 110,000 - 170,000; Full time

Job summary

Realign Llc in Minneapolis, MN is seeking a Computer Vision Engineer / AI ML Developer to design, train, and deploy advanced vision systems in manufacturing environments. You will work across data collection, model training, validation, and production deployment.

The role requires hands-on experience with HALCON, OpenCV, Python/C++, and containerized deployments with Docker and Kubernetes, plus strong collaboration with engineering teams to ensure compliant, reliable solutions.

Qualifications

• 3+ years in AI/ML development for vision in manufacturing/automation.
• Experience applying AI/ML to computer vision solutions in production.
• Proficiency with image datasets, annotation, and data management.
• Knowledge of industrial vision systems and imaging hardware.
• Experience with model development lifecycle and monitoring.

Skills

AI/ML development

Computer vision

Manufacturing domain

Model deployment

Data collection/annotation

Python

C++

OpenCV

HALCON

Docker

Kubernetes

Edge AI

ONNX

TensorFlow/PyTorch

Documentation

Tools

HALCON

OpenCV

Docker

Kubernetes

TensorFlow

PyTorch

ONNX

Azure/AWS

Job description

Minneapolis, Minnesota 55401 Posted October 1st, 2026

Location: Minneapolis, MN – Onsite

Job Description

Role: Computer Vision Engineer / AI ML Developer/Engineer

Job Type: Full Time

Job Category: IT

Fulltime – Permanent

Required Skills

• 3+ years of experience in AI/ML development
• 3+ years experience applying AI, analytics, and computer vision solutions within manufacturing, automation, or operations
• 3+ years experience developing, training, and deploying computer vision models in production environments
• Strong experience with industrial machine vision platforms (e.g., MVTec HALCON).
• Expertise in model development, validation, explainability, monitoring, and lifecycle management.
• Hands-on experience in image dataset collection, annotation, curation, and management.
• Knowledge of industrial vision systems, cameras, lighting, optics, and image acquisition technologies.
• Proficiency in traditional machine vision techniques, including OCR/OCV, pattern matching, edge detection, feature extraction, and rule-based inspection.
• Understanding of manufacturing processes, quality systems, OT environments, and regulated manufacturing practices (IQ/OQ/PQ, validation, change control).
• Experience collaborating with manufacturing, automation, process, and quality engineering teams.
• Ability to develop technical documentation, training materials, implementation playbooks, and best practices.
• Proven track record in mentoring teams on computer vision, AI/ML, and deployment best practices.
• Experience leading multiple AI deployments, balancing technical delivery, stakeholder management, and continuous improvement.
• Experience with containerized AI deployments using Docker and Kubernetes.
• Ability to perform predictive and statistical analysis from different data source
• Exposure to model deployment on constrained EDGE devices like RPI, Jetson Nano, Renesas etc
• Experience working with Image Processing, Computer Vision, Pattern Recognition, Machine Learning and Linear algebra.
• Exposure to model development + deployment of Neural Networks, Support vector Machines, Deep Learning, etc..
• Experience working on Different classes of Images with segmentation, object detection, Speech Recognition, scene analysis ...
• Experience on trouble shooting/debugging ML model issues
• Programming skills preferably using Python, C, C++
• Exposure to ONNX ontologies.
• Exposure to deployment tool-chain like Intel EII, Nvidia Deep Stream, Qualcomm AI Hub, etc....
• Excellent communication and documentation skills
• Programming skills preferably using OpenCV, OpenVino, CUDA, Tensorflow, Pytorch
• Exposure to popular platforms such as Azure, AWS.
• Exposure to ML Ops