HCLTech Campus Trainee 2026: Computer Vision Engineer

HCLTech Campus Trainee 2026: Computer Vision Engineer in Chennai

If you are a fresher interested in Computer Vision, Artificial Intelligence, Machine Learning and Python/C++, this HCLTech opening is one you should take a closer look at.

HCLTech is currently listing a Campus-Trainee opening in Chennai, Tamil Nadu. Interestingly, the job description attached to the listing is for Computer Vision Engineer II – Vision Model Development & Automation. The role is aimed at strong Tier-1 fresh graduates or candidates with 0–1 year of experience who have a good understanding of computer vision and software engineering.

This isn’t the kind of fresher role where knowing only basic programming may be enough. The requirements go into areas such as OpenCV, NumPy, PyTorch/TensorFlow, YOLO, image processing, object detection, video processing, MLOps and model optimization.

So, if you have built computer vision projects during college or internships, this opening could be particularly relevant.

HCLTech Campus Trainee 2026 – Job Highlights

DetailsInformation
CompanyHCLTech
Job Title on Career PageCampus-Trainee
Role Mentioned in DescriptionComputer Vision Engineer II
Focus AreaVision Model Development & Automation
LocationChennai, Tamil Nadu
ExperienceFresh graduates / 0–1 year
Job TypeFull-Time
Key LanguagesC++ and/or Python
Core AreaComputer Vision
Relevant ToolsOpenCV, NumPy, PyTorch/TensorFlow
Job ID146888
SalaryNot mentioned on the official listing

The official HCLTech page does not publish a salary figure for this opening, so candidates should not rely on unverified salary numbers circulating on job websites or social media.

What Is This HCLTech Campus Trainee Role About?

The role focuses on building production-ready computer vision pipelines for real-world applications.

The official description mentions areas such as surveillance, industrial automation and smart spaces. You would be working on systems that take image or video data, process it, run computer vision models and generate useful information from the results.

In simpler terms, this is not just about training a model in a Jupyter Notebook and stopping there.

The role expects candidates to understand how computer vision models can be developed, optimized and integrated into larger software systems.

Who Can Apply?

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

That makes this relevant for candidates who are early in their careers but already have strong technical exposure to computer vision.

The listing does not provide a broad degree-wise eligibility table such as B.Tech CSE only or a specific graduation-year cutoff. So candidates should check the application page carefully before assuming that their degree or batch is eligible.

Skills Required for HCLTech Computer Vision Engineer

This is where the job becomes more technical.

C++ or Python

Computer Vision Fundamentals

OpenCV and NumPy

PyTorch or TensorFlow

Computer Vision Models

Video Processing

The role isn’t limited to still images.

HCLTech also mentions familiarity with:

  • Codecs
  • Containers
  • RTSP
  • HLS
  • Frame-level video processing

This is particularly useful for candidates interested in video analytics and real-time computer vision.

Software Engineering Skills

One thing I would not ignore in this job is the software engineering side.

The listing expects knowledge of:

  • Git
  • Unit testing
  • Debugging
  • Software integration
  • Writing modular code

So don’t prepare only machine learning concepts.

You should also be comfortable explaining how your code is organized and how you would integrate a model into a larger application.

Computer Vision Metrics

The job description also mentions several performance metrics:

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

If you are preparing for this role, understand what these metrics mean and, more importantly, when you would use them.

For example, don’t just memorize the formula for IoU. Understand how IoU is used when evaluating object detection results.

What Will You Actually Work On?

According to the job description, some of the major responsibilities include developing and optimizing end-to-end computer vision pipelines.

That can include the complete flow:

Image/Video → Pre-processing → Model Inference → Post-processing → Metadata

You may also work on object detection, tracking, re-identification, segmentation, anomaly detection and OCR.

Another interesting part is MLOps.

The role mentions automated training and evaluation pipelines, model benchmarking and deployment across edge and cloud environments.

So this opportunity sits somewhere between Computer Vision + Machine Learning + Software Engineering + MLOps.

Data and Dataset Work

Computer vision models are only as good as the data behind them.

The job description mentions working on dataset management, including:

  • Automated annotation
  • Quality checks
  • Synthetic data generation
  • Active learning

This means you may also be involved in improving the data pipeline rather than only writing model code.

Model Optimization

Another important part of the role is making models work efficiently.

The listing mentions technologies such as TensorRT, OpenVINO, DeepStream and ONNX Runtime for improving latency and throughput.

For someone interested in production AI, this is a valuable skill area because a model that performs well in a notebook may still need significant optimization before being used in a real-world system.

Is This a Good Job for Freshers?

If you are a fresher with a strong Computer Vision or AI background, yes, this is worth checking.

But this isn’t a typical generic fresher IT support role.

The technical expectations are quite high for an entry-level position. The listing specifically targets strong fresh graduates and candidates with 0–1 year experience and expects hands-on exposure to computer vision and related software engineering concepts.

So, if your background is primarily Java, web development or basic programming and you haven’t worked on computer vision, this particular opening may not be the closest match.

About HCLTech

HCLTech is a global technology company operating across areas including digital, engineering, cloud and AI.

According to the company’s current careers page, HCLTech has more than 223,000 employees across 60 countries. The company also reports consolidated revenue of $14.8 billion for the 12 months ending June 2026.

Salary

The official job listing does not mention the salary for this Campus-Trainee position.

So I would recommend avoiding websites or social media posts claiming a fixed package unless the amount is confirmed by HCLTech.

The actual compensation, if disclosed during recruitment, should be verified from the official communication.

How to Apply for HCLTech Campus Trainee 2026

Interested candidates can apply through the official HCLTech careers page.

 

Official application: HCLTech Campus-Trainee application – Job 146888

Frequently Asked Questions

Is HCLTech hiring freshers for this Campus Trainee role?

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

What is the location?

The current listing shows Chennai, Tamil Nadu.

 

Is PyTorch or TensorFlow required?

The listing asks for proficiency with at least one deep-learning framework, such as PyTorch or TensorFlow, applied to computer vision tasks.

Is salary mentioned?

No. The current official listing does not provide a salary figure.

What is the HCLTech job ID?

The job URL provided is for Job ID 146888.

Final Words

This HCLTech opening is a little different from the usual fresher job you see online.

The page says Campus-Trainee, but the actual description is heavily focused on Computer Vision, AI, Machine Learning and software engineering.

For a fresher who has spent time building computer vision projects, working with Python or C++, experimenting with OpenCV and deep learning models, and learning how models are deployed, this could be a strong opportunity.

Don’t apply just because the word “fresher” appears on the page.

Read the technical requirements first.

If your projects genuinely match the role, update your resume around those skills and apply through the official HCLTech careers page.

Disclaimer

This article is based on the HCLTech careers listing available at the time of writing. The current page is titled Campus-Trainee, while its job description refers to Computer Vision Engineer II – Vision Model Development & Automation. Job titles, eligibility, locations, requirements and availability can change, so candidates should verify the latest information on the official HCLTech careers page before applying.

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