HCLTech Jobs 2026 Campus Trainee – Private Job Opportunity 2026
🚀 Kickstart your career with HCLTech!
HCLTech is hiring talented candidates for the role of Campus-Trainee in Chennai, Tamil Nadu. This opportunity is suitable for strong Tier-1 fresh graduates and candidates with 0–1 year of experience who have skills in Computer Vision, Python/C++, OpenCV, Deep Learning and related technologies.
🏢 About the Company
HCLTech is a global technology company with a strong presence across digital, engineering, cloud and AI. The company operates across 60 countries and has more than 223,000 employees, serving clients across multiple industries including Financial Services, Manufacturing, Healthcare, Technology, Telecom, Retail and Public Services.
📌 Job Overview
| Company | HCLTech |
|---|---|
| Role | Campus-Trainee |
| Job Type | Full-time / Private Job |
| Experience | Fresher / 0–1 Year Experience |
| Location | Chennai, Tamil Nadu |
| Salary | Not Disclosed |
| Work Mode | Not Specified |
🎯 Key Responsibilities
- Develop, integrate and optimize end-to-end Computer Vision pipelines from image/video ingestion to inference, post-processing and metadata generation.
- Implement and fine-tune vision algorithms for object detection, tracking, re-identification, segmentation, anomaly detection and OCR.
- Build and maintain automated training and evaluation pipelines for model updates, benchmarking and deployment across edge and cloud environments.
- Optimize Computer Vision models for latency and throughput using technologies such as TensorRT, OpenVINO, DeepStream and ONNX Runtime.
- Develop complex event-processing logic by correlating multiple detections and applying temporal and spatial rules.
- Create tools and scripts for dataset management, automated annotation, quality checks, synthetic data generation and active learning.
- Troubleshoot vision performance issues related to lighting, occlusion, camera angles and other real-world conditions.
- Document vision pipeline architecture, model interfaces, performance benchmarks and deployment guides.
📚 Eligibility Criteria: HCLTech Jobs 2026
- Education: Strong Tier-1 fresh graduates or candidates with 0–1 year of experience.
- Programming Skills: Strong programming skills in C++ and/or Python.
- Computer Vision: Good understanding of image processing, filtering, morphology, geometry, feature extraction and camera models/calibration.
- Frameworks: Experience with OpenCV, NumPy and at least one Deep Learning framework such as PyTorch or TensorFlow.
- Experience: Hands-on experience through projects or internships developing and evaluating Computer Vision models.
💡 Preferred Skills (Bonus)
- Knowledge of CNN architectures such as ResNet, MobileNet and EfficientNet.
- Experience with object detection models such as YOLO, SSD or Faster R-CNN.
- Knowledge of tracking, segmentation and OCR approaches.
- Understanding of video processing concepts including codecs, containers, RTSP and HLS.
- Knowledge of Git, unit testing, debugging and software integration.
- Ability to evaluate models using Precision, Recall, F1, mAP, IoU, MOTA, FPS and CPU/GPU/RAM usage.
💼 Why Join HCLTech?
- ✨ Opportunity to work with a leading global technology company
- 📈 Career growth and skill development opportunities
- 🌍 Exposure to global clients and real-world technology projects
- 🤖 Opportunity to work in Computer Vision, AI and Deep Learning
- 💻 Exposure to digital, engineering, cloud and AI technologies
📅 Important Details
| Application Start Date | Not Specified |
|---|---|
| Last Date to Apply | Not Specified – Apply as early as possible |
📍 Selection Process
- Application Screening
- Technical Assessment / Interview
- Technical Interview
- HR / Final Selection Process
Note: The exact selection process may vary depending on HCLTech’s recruitment process for this position.
📝 How to Apply?
- Visit the official HCLTech careers page using the Apply Online link below.
- Register or log in using your details.
- Search for the Campus-Trainee position.
- Fill in the required information carefully.
- Upload your updated resume and required documents.
- Review your application and submit it online.
- 📃 Official Job Details: Click Here
- ✍️ Apply Online: Click Here
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- 🌐 More Job Updates: Visit Here
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