Computer Vision Engineer — Minneapolis, MN

Job Description

• 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

Salary Range: $100,000-$120,000 a year

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications: BACHELOR OF SCIENCE ( B.Sc Degree )