HCLTech Hiring 2026 | Campus-Trainee – Computer Vision Engineer II | Chennai | Apply Now

Company Name: HCLTech

Position: Campus-Trainee – Computer Vision Engineer II

Location: Chennai, Tamil Nadu, India

Job Type: Full-Time / Campus Hiring

Experience: Fresh Graduates / 0–1 Year Experience

Application Link

Interested and eligible candidates can apply through the official HCLTech careers portal:

Apply Here – HCLTech Campus-Trainee – Computer Vision Engineer II

HCLTech Hiring 2026 – Computer Vision Engineer II Opportunity

HCLTech is hiring fresh graduates and early-career candidates for the position of Campus-Trainee – Computer Vision Engineer II in Chennai, Tamil Nadu. This opportunity is suitable for candidates interested in Computer Vision, Image Processing, Deep Learning, Object Detection, Video Processing, and AI/ML.

Candidates with strong programming skills in C++ and/or Python, hands-on computer vision projects or internship experience, and knowledge of modern computer vision and deep learning technologies can apply for this opportunity.

About HCLTech

HCLTech is a global technology company providing technology services and solutions across areas including engineering, cloud, digital transformation, software, and AI. The company offers opportunities for students, fresh graduates, and experienced professionals across multiple technology domains.

Job Details

Company: HCLTech
Job Role: Campus-Trainee – Computer Vision Engineer II
Job Type: Full-Time / Campus Hiring
Location: Chennai, Tamil Nadu, India
Experience: Fresh Graduates / 0–1 Year
Qualification: Relevant technical/engineering qualification with strong programming and computer vision fundamentals
Salary: Not disclosed in the official job posting
Work Mode: Not specified in the provided job details

Eligibility Criteria

Strong Tier-1 fresh graduates or candidates with 0–1 year of experience can apply.
Strong programming skills in C++ and/or Python.
Solid understanding of Computer Vision fundamentals.
Knowledge of image processing, feature extraction, geometry, and camera calibration.
Proficiency with OpenCV and NumPy.
Knowledge of at least one deep learning framework such as PyTorch or TensorFlow.
Hands-on computer vision projects or internship experience is preferred.
Understanding of software engineering fundamentals.
Knowledge of Git, unit testing, debugging, and application integration.
Strong analytical skills for evaluating computer vision model performance.

Technical Skills Required

Programming: C++, Python
Computer Vision: Computer Vision, Image Processing, OpenCV, NumPy
Deep Learning: PyTorch, TensorFlow, CNN, ResNet, MobileNet, EfficientNet
Object Detection: YOLO, SSD, Faster R-CNN, Object Detection
Vision Tasks: Object Tracking, Re-identification, Image Segmentation, Anomaly Detection, OCR
Video Processing: Video Processing, RTSP, HLS
Inference & Optimization: TensorRT, OpenVINO, DeepStream, ONNX Runtime
MLOps & Engineering: MLOps, Git, Unit Testing, Debugging, Application Integration

Computer Vision Areas

Candidates should have an understanding of important computer vision concepts and applications, including:

Image Processing
Feature Extraction
Camera Calibration
Object Detection
Object Tracking
Person/Object Re-identification
Image Segmentation
Anomaly Detection
Optical Character Recognition (OCR)
Video Analytics

Deep Learning Knowledge

Knowledge of deep learning architectures and frameworks is relevant for this role. Candidates may have experience with:

Convolutional Neural Networks (CNN)
ResNet
MobileNet
EfficientNet
YOLO
SSD
Faster R-CNN
PyTorch
TensorFlow

Model Evaluation & Performance

Candidates should have strong analytical skills for evaluating and improving computer vision model performance. Relevant evaluation concepts include:

Precision
Recall
F1 Score
mAP (mean Average Precision)
IoU (Intersection over Union)
MOTA
FPS (Frames Per Second)
Model Evaluation
CPU / GPU / RAM Optimization

Video Processing & Deployment Technologies

RTSP
HLS
TensorRT
OpenVINO
DeepStream
ONNX Runtime
CPU/GPU optimization
Real-time video processing

Key Responsibilities

Work on computer vision and image processing applications.
Develop and work with computer vision solutions using C++ and/or Python.
Implement and evaluate computer vision and deep learning models.
Work with object detection, tracking, segmentation, OCR, and related vision tasks.
Process image and video data using technologies such as OpenCV and NumPy.
Evaluate models using metrics such as precision, recall, F1, mAP, IoU, MOTA, and FPS.
Work with model inference and optimization technologies such as TensorRT, OpenVINO, DeepStream, and ONNX Runtime.
Perform debugging, unit testing, and application integration.
Use Git for software development and version control.
Analyze model and application performance and identify opportunities for optimization.

Preferred Experience

Hands-on computer vision projects.
Computer vision internship experience.
Experience implementing deep learning models.
Experience working with image and video datasets.
Experience with model evaluation and performance optimization.
Understanding of software engineering practices.

Selection Process

The exact number and format of selection rounds are not disclosed in the official job posting. The recruitment process may vary based on HCLTech's hiring requirements and candidate profile.

Why Apply for HCLTech Computer Vision Engineer II?

Opportunity for fresh graduates and early-career candidates.
Work in the growing field of Computer Vision and AI/ML.
Opportunity to apply C++ and Python programming skills.
Exposure to modern computer vision and deep learning technologies.
Opportunity to work with object detection, tracking, segmentation, OCR, and video processing concepts.
Suitable for candidates interested in AI engineering and computer vision careers.

Who Should Apply?

This opportunity is suitable for:

Fresh graduates looking for Computer Vision or AI/ML opportunities.
Candidates with 0–1 year of experience.
Students or graduates with strong C++ and/or Python skills.
Candidates who have completed computer vision or deep learning projects.
Candidates with knowledge of OpenCV, NumPy, PyTorch, or TensorFlow.
Aspiring Computer Vision Engineers and AI/ML Engineers.
Candidates interested in image processing, video analytics, object detection, and AI-based applications.

How to Apply for HCLTech Hiring 2026?

Click on the official application link below.
Review the job requirements and eligibility criteria.
Complete the application form with accurate details.
Upload your updated resume if required.
Submit your application through the official HCLTech careers portal.

Official Application Link:
https://careers.hcltech.com/talentcommunity/apply/146888/?locale=en_US

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Disclaimer

This job information is provided for informational and career-awareness purposes. Candidates are advised to verify the eligibility criteria, job description, location, application status, and other details on the official HCLTech careers website before applying. Hima_Hire does not guarantee selection or employment.

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HCLTech Hiring 2026 | Computer Vision Engineer II | Freshers | Chennai | Apply Now

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HCLTech Hiring 2026 for Campus-Trainee – Computer Vision Engineer II in Chennai. Fresh graduates and 0–1 year candidates with C++, Python, OpenCV, Deep Learning and Computer Vision skills can apply. Check eligibility and apply now.

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