HCLTech Campus Trainee Hiring 2026
HCLTech Campus Trainee Hiring 2026 has opened applications for a Campus-Trainee position based in Chennai, Tamil Nadu, aimed at strong Tier-1 fresh graduates or candidates with 0–1 year of experience. What makes this listing particularly interesting — and worth reading carefully before you apply — is that while the posting is titled “Campus-Trainee,” the actual job summary describes a specialized Computer Vision Engineer II role focused on vision model development and automation.
In this post, we’ll break down exactly what the official listing says about responsibilities, required skills, and qualifications, and we’ll be transparent about the title discrepancy and the information gaps in the posting, so you know what to verify before applying.
Table of Contents
Job Overview
| Field | Details |
|---|---|
| Posting Title | Campus-Trainee |
| Role Described in Summary | Computer Vision Engineer II – Vision Model Development & Automation |
| Location | Chennai, Tamil Nadu, India |
| Experience Level | Fresh graduates (Tier-1) or 0–1 year of experience |
| Job ID | 146888 |
| Employer | HCLTech |
Job Summary
HCLTech Campus Trainee Hiring 2026
The role centers on building robust, production-ready computer vision pipelines to solve real-world problems in surveillance, industrial automation, and smart spaces. It is designed for strong Tier-1 fresh graduates (or candidates with 0–1 year of experience) who combine deep knowledge of vision algorithms — both traditional and deep-learning-based — with the software engineering skills needed to automate, optimize, and integrate vision models into scalable platforms.
Key Responsibilities
The official listing outlines the following responsibilities:
- Develop, integrate, and optimize end-to-end computer vision pipelines — from image/video ingestion through pre-processing, inference, post-processing, and metadata generation.
- Implement and fine-tune state-of-the-art vision algorithms for tasks such as object detection, tracking, re-identification, segmentation, anomaly detection, and OCR.
- Build and maintain automated training and evaluation pipelines (MLOps) to streamline model updates, benchmarking, and deployment across edge and cloud environments.
- Collaborate with platform engineers to optimize vision models for latency and throughput using tools like TensorRT, OpenVINO, DeepStream, or ONNX Runtime.
- Create robust logic for complex event processing — correlating multiple detections, applying temporal/spatial rules, and filtering noise or false positives to generate reliable business insights.
- Develop tools and scripts for dataset management, including automated annotation, quality checks, synthetic data generation, and active learning loops.
- Troubleshoot vision performance issues in diverse real-world conditions (lighting, occlusion, camera angles) and implement algorithmic fixes or data-centric improvements.
- Document vision pipeline architecture, model interfaces, performance benchmarks, and deployment guides for internal and external consumers.
Skill Requirements
The listing specifies the following technical and analytical requirements:
- Strong programming skills in C++ and/or Python, with a focus on writing efficient, modular code for vision applications.
- A solid understanding of computer vision fundamentals: image processing (filtering, morphology, geometry), feature extraction, and camera models/calibration.
- Proficiency with core CV libraries and frameworks: OpenCV, NumPy, and at least one deep learning framework (PyTorch or TensorFlow) applied to vision tasks.
- Hands-on experience (through projects or internships) developing and evaluating vision models: CNN architectures (ResNet, MobileNet, EfficientNet), detection families (YOLO, SSD, Faster R-CNN), or tracking/segmentation approaches.
- Familiarity with video processing concepts: codecs, containers, and streaming protocols (RTSP, HLS), along with efficient handling of frame-level data.
- Understanding of software engineering basics: version control (Git), unit testing, debugging, and integrating algorithms into larger applications.
- Strong analytical skills to evaluate vision model performance using metrics such as precision, recall, F1 score, mAP, IoU, MOTA, frame rate (FPS), and resource usage (CPU/GPU/RAM).
How to Apply
- HCLTech Campus Trainee Hiring 2026
- Application Link: Click Here.
- Job ID: 146888
- For more jobs: Click Here.
Frequently Asked Questions
Q1. What is the title of this HCLTech job posting? A: The posting is titled “Campus-Trainee,” though the job summary describes a “Computer Vision Engineer II – Vision Model Development & Automation” role.
Q2. Where is this HCLTech role based? A: The role is based in Chennai, Tamil Nadu, India.
Q3. What experience level is HCLTech looking for? A: The listing targets strong Tier-1 fresh graduates or candidates with 0–1 year of experience.
Q4. What programming languages are required? A: Strong programming skills in C++ and/or Python are required, with a focus on efficient, modular code for vision applications.
Q5. What computer vision libraries or frameworks are expected? A: The listing specifies OpenCV, NumPy, and at least one deep learning framework — PyTorch or TensorFlow.
Q6. Does the listing mention the salary for this role? A: No. The official listing does not disclose any salary or compensation details.
Q7. Is this a remote, hybrid, or on-site position? A: The listing does not specify the work mode. Applicants should confirm this directly with HCLTech.
Q8. What is the Job ID for this posting? A: The Job ID listed is 146888.
Q9. Does the listing explain why it’s called “Campus-Trainee” despite describing an engineering role? A: No, the listing does not explain this discrepancy. It’s recommended that applicants ask HCLTech recruiters directly for clarification.
Q10. How can I apply for this HCLTech Campus-Trainee role? A: You can apply through HCLTech’s official careers portal using the application link provided in this article, quoting the Job ID above.
