Tata Consultancy Services · 5 hours ago
Computer Vision Engineer
Warren, MI
Full-time
Onsite
Mid Level
$90K/yr - $140K/yrTata Consultancy Services is a leading global IT services, consulting, and business solutions organization. They are seeking a Computer Vision Engineer to develop and optimize deep learning models for flaw detection and classification in imaging data, while also building data pipelines and collaborating with cross-functional teams to enhance model performance.
Business Information SystemsConsultingInformation TechnologyIT Management
Responsibilities
Experiences classical image processing techniques for NDT (e.g., filtering, edge detection, thresholding) used in conjunction with ML
Experience with point cloud processing and 3D geometry analysis
Understanding of industry standards and regulations (e.g., NADCAP, AS9100, ISO 9001) related to quality control and NDT processes
Familiarity with robotics, PLCs, and industrial automation systems (e.g., Siemens, Fanuc)
AI Model Development: Design, train, and optimize deep learning models (e.g., 3D CNNs, Vision Transformers, U-Nets) for flaw detection, segmentation, and classification in 3D volumetric CT data and 2D X-ray images
Algorithm Validation: Develop rigorous validation frameworks to measure model performance against expert NDT technician analysis. Ensure algorithms meet strict industry standards for precision and recall, particularly for critical defects
Data Pipeline Architecture: Build robust data pipelines for ingesting, preprocessing, and augmenting large-scale volumetric CT data. Handle challenges like noise reduction, normalization, and material attenuation artifacts
System Integration & Deployment: Work closely with automation and robotics engineers to integrate models into real-time production line inspection systems. Optimize models for high-speed inference and edge deployment
Cross-Functional Collaboration: Partner with NDT Level II/III technicians to understand defectology and define accurate labeling protocols
Work with mechanical and materials engineers to incorporate domain knowledge (e.g., material properties, expected stress points) into model design
Continuous Improvement: Monitor model performance in production and implement active learning and data drift detection strategies to continuously improve system accuracy
Qualification
Required
Experiences classical image processing techniques for NDT (e.g., filtering, edge detection, thresholding) used in conjunction with ML
Experience with point cloud processing and 3D geometry analysis
Understanding of industry standards and regulations (e.g., NADCAP, AS9100, ISO 9001) related to quality control and NDT processes
Familiarity with robotics, PLCs, and industrial automation systems (e.g., Siemens, Fanuc)
AI Model Development: Design, train, and optimize deep learning models (e.g., 3D CNNs, Vision Transformers, U-Nets) for flaw detection, segmentation, and classification in 3D volumetric CT data and 2D X-ray images
Algorithm Validation: Develop rigorous validation frameworks to measure model performance against expert NDT technician analysis. Ensure algorithms meet strict industry standards for precision and recall, particularly for critical defects
Data Pipeline Architecture: Build robust data pipelines for ingesting, preprocessing, and augmenting large-scale volumetric CT data. Handle challenges like noise reduction, normalization, and material attenuation artifacts
System Integration & Deployment: Work closely with automation and robotics engineers to integrate models into real-time production line inspection systems. Optimize models for high-speed inference and edge deployment
Cross-Functional Collaboration: Partner with NDT Level II/III technicians to understand defectology and define accurate labeling protocols
Work with mechanical and materials engineers to incorporate domain knowledge (e.g., material properties, expected stress points) into model design
Continuous Improvement: Monitor model performance in production and implement active learning and data drift detection strategies to continuously improve system accuracy
MASTER OF COMPUTER SCIENCE
Benefits
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 & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Company
Tata Consultancy Services
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting.
Founded in 1968
10001+ employees
H1B Sponsorship
Tata Consultancy Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (7880)
2024 (9690)
2023 (8537)
2022 (11159)
2021 (9813)
2020 (11984)
Funding
Current Stage
Public CompanyTotal Funding
unknown2004-08-25IPO
Leadership Team
K. Krithivasan
Chief Executive Officer & Managing Director
Aarthi Subramanian
President and Chief Operating Officer
Recent News
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2026-01-16
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