Computer Vision Engineer

HCLTech; Asheville (NC); On-site; USD 87,000 - 172,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

10 days paid time off per year

10 paid holidays per year

Employee assistance program

Job summary

HCLTech is looking for a highly talented and self- motivated Computer Vision Engineer (AI POD) to join it in advancing the technological world through innovation and creativity. Location: Asheville, NC (Remote, require travel as per need).

Design robust computer vision solutions for assembly and defect inspection, and deploy deep learning models on edge devices and GPUs. Azure certification and frameworks PyTorch, TensorFlow, ONNX are required, plus FastAPI/Flask for REST services.

Qualifications

• Azure certification required.
• Proficiency with PyTorch, TensorFlow and ONNX.

Responsibilities

• Design robust computer vision solutions for assembly and defect inspection.
• Develop image processing and computer vision algorithms for detection, segmentation, OCR, and anomaly detection.
• Build, train, optimize, and deploy deep learning models for industrial applications.
• Design camera, lens, and lighting setups for inspection systems.
• Deploy AI models on edge devices and GPUs with optimization frameworks.
• Implement MLOps pipelines for model training, monitoring, and lifecycle management.
• Develop REST APIs and microservices to expose computer vision capabilities.
• Collaborate with manufacturing, automation, and software engineering teams.

Skills

Edge AI

API Development

Collaboration

Tools

PyTorch

TensorFlow

ONNX

NVIDIA Jetson

TensorRT

DeepStream

OpenVINO

FastAPI

Flask

REST Services

Job description

HCLTech is looking for a highly talented and self- motivated Computer Vision Engineer (AI POD) to join it in advancing the technological world through innovation and creativity.

Job Title: Computer Vision Engineer (AI POD)

Job ID: 136587

Position Type: Full-time

Location: Asheville, NC (Remote, require travel as per need)

Role/Responsibilities

• Design robust computer vision solutions for assembly and defect inspection.
• Develop image processing and computer vision algorithms for detection, segmentation, OCR, and anomaly detection.
• Build, train, optimize, and deploy deep learning models for industrial applications.
• Design camera, lens, and lighting setups for inspection systems.
• Deploy AI models on edge devices and GPUs using optimization frameworks.
• Implement MLOps pipelines for model training, monitoring, and lifecycle management.
• Develop REST APIs and microservices to expose computer vision capabilities.
• Collaborate with manufacturing, automation, and software engineering teams.

Qualifications & Experience

• Must have completed Azure certification – to get access to their Azure environment.
• Frameworks: PyTorch, TensorFlow, ONNX.
• Edge AI: NVIDIA Jetson, Edge GPUs, TensorRT, DeepStream, OpenVINO.
• API Development: FastAPI, Flask, REST Services.

Desired Qualifications

Pay and Benefits

Pay Range Minimum: $87,000 per year

Pay Range Maximum: $172,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies.

In addition, this role is eligible for the following benefits subject to company policies:

• medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance
• employee assistance program
• 401(k) retirement plan
• 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year)
• 10 paid holidays per year

How You'll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.