About the HCLTech Campus Trainee 2026 Role

The HCLTech Campus Trainee 2026 opportunity focuses on developing
robust computer vision solutions that can be used in areas such as surveillance,
industrial automation and smart spaces.

The selected candidate is expected to work across the complete computer vision lifecycle,
including image and video ingestion, preprocessing, inference, post-processing and
metadata generation.

The position is particularly suited to candidates who have strong fundamentals in
computer vision and who have gained practical exposure through academic projects,
internships or personal projects.

Key Responsibilities

• Develop, integrate and optimize end-to-end computer vision pipelines.
• Work with image and video ingestion, preprocessing, inference and post-processing.
• Implement and fine-tune computer vision algorithms.
• Work on object detection, tracking, re-identification and segmentation.
• Explore anomaly detection and OCR-based computer vision solutions.
• Build automated training and evaluation pipelines.
• Support MLOps workflows for model updates, benchmarking and deployment.
• Optimize models for latency and throughput.
• Develop complex event-processing logic using temporal and spatial rules.
• Create tools for dataset management and automated quality checks.
• Support synthetic data generation and active learning workflows.
• Troubleshoot computer vision performance issues.
• Document architecture, model interfaces and performance benchmarks.

HCLTech Campus Trainee 2026 – Required Skills

Programming

• Strong programming skills in C++ and/or Python.
• Ability to write efficient and modular code.
• Understanding of software engineering fundamentals.
• Knowledge of Git, unit testing, debugging and integration.

Computer Vision

• Image processing fundamentals.
• Filtering and morphology.
• Geometry and feature extraction.
• Camera models and calibration.
• Object detection and tracking.
• Segmentation and OCR.

Frameworks & Libraries

• OpenCV
• NumPy
• PyTorch and/or TensorFlow
• CNN architectures such as ResNet, MobileNet and EfficientNet
• Detection models such as YOLO, SSD and Faster R-CNN

Video Processing Skills

Candidates should understand video processing concepts and efficient handling of
frame-level data. The job description specifically mentions familiarity with:

Computer Vision Performance Metrics

Analytical skills are important for evaluating the performance of vision models.
Candidates should understand metrics and resource measurements such as:

• Precision
• Recall
• F1 Score
• mAP
• IoU
• MOTA
• FPS
• CPU usage
• GPU usage
• RAM usage

Additional Skills Mentioned in the Job Description

• NVIDIA DeepStream
• TensorRT
• CUDA
• OpenVINO
• GStreamer
• Vision-focused MLOps and DevOps
• CI/CD for models
• Docker/containerization
• DVC or MLflow
• 3D vision
• Stereo and depth
• Point clouds
• SLAM
• Multi-camera tracking
• Edge computing platforms
• Cloud computer vision services
• CVAT or Labelbox

Who Can Apply?

The job description describes this opportunity as being designed for strong
Tier-1 fresh graduates or candidates with 0–1 year of experience.

Candidates with hands-on experience through projects or internships involving
computer vision models can be relevant for this opportunity.

How to Apply for HCLTech Campus Trainee 2026?

Interested candidates can apply through the HCLTech careers application page.
Review the requirements carefully and submit your updated resume and requested
information through the official application process.

APPLY NOW – HCLTECH

Application Checklist

• Updated resume
• Highlight Python and/or C++ skills
• Mention computer vision projects
• Include OpenCV and deep learning experience
• Highlight internships and practical projects
• Mention Git, testing and debugging knowledge
• Include relevant AI/ML certifications if applicable
• Review the official job description before submitting your application

Frequently Asked Questions

1. What is the HCLTech Campus Trainee 2026 role?

It is a campus-oriented opportunity focused on Computer Vision Engineer II work,
including vision model development, automation and production-ready computer vision pipelines.

2. Where is this HCLTech position located?

The supplied job listing specifies Chennai, Tamil Nadu.

3. What experience is mentioned?

The job description is designed for strong Tier-1 fresh graduates or candidates
with 0–1 year of experience.

4. Which programming languages are required?

Strong programming skills in C++ and/or Python are mentioned.

5. Which computer vision libraries are mentioned?

OpenCV and NumPy are mentioned, along with at least one deep learning framework
such as PyTorch or TensorFlow.

6. Is salary mentioned in the supplied job description?

No specific salary or compensation figure is provided in the supplied listing.

7. Where can candidates apply?

Candidates can apply through the HCLTech careers application page provided above.