Computer Vision Engineer

Tata Consultancy Services; Minneapolis (MN); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage: Health

Family Support: Parental Leaves

401K Plan

Performance Bonus

Job summary

Tata Consultancy Services Limited in Minneapolis, MN is seeking an Engineer to contribute to AI/ML development, computer vision, and industrial automation initiatives. The role emphasizes deployment and lifecycle management of models within manufacturing environments.

The candidate should have hands-on experience with image processing, machine vision, and industry-standard tools, plus strong documentation and collaboration skills. Location is on-site in Minneapolis.

Qualifications

• 1.3+ years of experience in AI/ML development.
• 2.3+ years applying AI, analytics, and computer vision solutions in manufacturing, automation, or operations.
• 3.3+ years experience developing, training, and deploying computer vision models in production environments.
• 4. Strong experience with industrial machine vision platforms (e.g., MVTec HALCON).

Responsibilities

• Maintain and deploy AI/ML models in production.
• Collaborate with manufacturing and quality teams to meet industrial standards.
• Develop technical documentation and training materials.

Skills

Docker

Git

API

Education

Bachelors in Science

Job description

Job Description

• 1.3+ years of experience in AI/ML development
• 2.3+ years experience applying AI, analytics, and computer vision solutions within manufacturing, automation, or operations
• 3.3+ years experience developing, training, and deploying computer vision models in production environments
• 4.Strong experience with industrial machine vision platforms (e.g., MVTec HALCON).
• 5.Expertise in model development, validation, explainability, monitoring, and lifecycle management.
• 6.Hands-on experience in image dataset collection, annotation, curation, and management.
• 7.Knowledge of industrial vision systems, cameras, lighting, optics, and image acquisition technologies.
• 8.Proficiency in traditional machine vision techniques, including OCR/OCV, pattern matching, edge detection, feature extraction, and rule-based inspection.
• 9.Understanding of manufacturing processes, quality systems, OT environments, and regulated manufacturing practices (IQ/OQ/PQ, validation, change control).
• 10.Experience collaborating with manufacturing, automation, process, and quality engineering teams.
• 11.Ability to develop technical documentation, training materials, implementation playbooks, and best practices.
• 12.Proven track record in mentoring teams on computer vision, AI/ML, and deployment best practices.
• 13.Experience leading multiple AI deployments, balancing technical delivery, stakeholder management, and continuous improvement.
• 14.Experience with containerized AI deployments using Docker and Kubernetes.
• 15.Ability to perform predictive and statistical analysis from different data source
• 16.Exposure to model deployment on constrained EDGE devices like RPI, Jetson Nano, Renesas etc
• 17.Experience working with Image Processing, Computer Vision, Pattern Recognition, Machine Learning and Linear algebra.
• 18.Exposure to model development + deployment of Neural Networks, Support vector Machines, Deep Learning, etc..
• 19.Experience working on Different classes of Images with segmentation, object detection, Speech Recognition, scene analysis ...
• 20.Experience on trouble shooting/debugging ML model issues
• 21.Programming skills preferably using Python, C, C++
• 1.Exposure to ONNX ontologies.
• 2.Exposure to deployment tool-chain like Intel EII, Nvidia Deep Stream, Qualcomm AI Hub, etc....
• 3.Excellent communication and documentation skills
• 4.Programming skills preferably using OpenCV, OpenVino, CUDA, Tensorflow, Pytorch
• 5.Exposure to popular platforms such as Azure, AWS.
• 6.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.

#LI-SP1

Location

Minneapolis, MN

Function

TECHNOLOGY

Role

Engineer

ID

434306

Skills

Docker | Git | API(Application programming interface)

Salary Range

$100,000 - $120,000

Desired Candidate Profile

Qualifications

BACHELOR OF SCIENCE ( B.Sc Degree )