HCLTech Campus Trainee Recruitment 2026

HCLTech has opened a Campus Trainee posting for a Computer Vision Engineer II role, based in Chennai, focused on Vision Model Development & Automation. Don’t let the generic “Campus-Trainee” title on the careers portal undersell this one — the actual job summary describes a fairly specialized, technically deep computer vision position, building production-ready CV pipelines for surveillance, industrial automation, and smart-spaces applications.

This posting is explicit that it’s designed for strong Tier-1 fresh graduates (or candidates with 0–1 year of experience) — so the technical bar here is genuinely higher than a typical “campus trainee” title might suggest. If you have real, hands-on computer vision project experience — not just coursework exposure to OpenCV — this is worth a serious look. If your CV/ML exposure is purely theoretical, this specific role will be a stretch.

For more AI/ML roles, browse AI/ML Jobs on FreshersJob4U. If you’re weighing a computer vision/ML engineering path against data analyst or data scientist tracks, our Data Analyst vs Data Scientist vs ML Engineer guide is useful background.

Apply Online — HCLTech Campus Trainee (Computer Vision Engineer II)

Quick Overview

Key Responsibilities

• Developing, integrating, and optimizing end-to-end computer vision pipelines — from image/video ingestion through pre-processing, inference, post-processing, and metadata generation.
• Implementing and fine-tuning vision algorithms for object detection, tracking, re-identification, segmentation, anomaly detection, and OCR.
• Building and maintaining automated MLOps training and evaluation pipelines for model updates, benchmarking, and deployment across edge and cloud environments.
• Collaborating with platform engineers to optimize vision models for latency and throughput using tools like TensorRT, OpenVINO, DeepStream, or ONNX Runtime.
• Building logic for complex event processing — correlating multiple detections, applying temporal/spatial rules, and filtering false positives to generate reliable insights.
• Developing tools for dataset management — automated annotation, quality checks, synthetic data generation, and active learning loops.
• Troubleshooting vision performance issues under real-world conditions (lighting, occlusion, camera angles) and implementing algorithmic or data-centric fixes.
• Documenting vision pipeline architecture, model interfaces, performance benchmarks, and deployment guides.

Eligibility Criteria

Who This Role Targets

The posting specifically targets strong Tier-1 fresh graduates, or candidates with 0–1 year of experience, who combine deep vision-algorithm knowledge with the software engineering skills to automate and integrate vision models into scalable platforms.

Required Skills

• Strong programming skills in C++ and/or Python, focused on writing efficient, modular code for vision applications.
• 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, streaming protocols (RTSP, HLS), and efficient frame-level data handling.
• Understanding of software engineering basics — Git version control, unit testing, debugging, and integrating algorithms into larger applications.
• Strong analytical skills to evaluate vision performance — precision/recall/F1, mAP, IoU, MOTA, frame rate (FPS), and CPU/GPU/RAM resource usage.

Who Should Apply?

• Fresh graduates from Tier-1 institutions (or candidates with up to a year of experience) with genuine, hands-on computer vision project work — not just theoretical coursework.
• Candidates comfortable across both traditional CV (image processing, feature extraction) and deep-learning-based CV (CNNs, detection/segmentation models).
• Those with real exposure to model optimization tools (TensorRT, OpenVINO, ONNX Runtime) or at least strong fundamentals to pick these up quickly.
• Candidates who can speak concretely to evaluation metrics like mAP, IoU, and MOTA — the posting expects analytical fluency here, not just familiarity with the terms.

Who Is This Role Not For?

• Candidates whose CV/ML exposure is limited to introductory coursework or tutorials, without hands-on project or internship experience actually training and evaluating vision models.
• Those looking for a generic software development trainee role — despite the “Campus-Trainee” title, this is a specialized computer vision engineering position with a genuinely technical bar.
• Candidates with no exposure to video/streaming concepts (RTSP, HLS, codecs), since real-time vision pipeline work is central to this role.

Salary

HCLTech has not disclosed a salary or CTC figure in the official posting. Candidates should confirm compensation directly during the interview or offer stage.

Selection Process

The official posting does not describe a specific test or interview format. Given the depth of technical requirements — vision algorithms, MLOps, model optimization, and performance evaluation metrics — candidates should be ready to walk through real CV projects in detail, including the specific architectures, frameworks, and evaluation metrics they used, rather than relying on general ML knowledge alone.

If you’re weighing this against other technically demanding fresher AI/ML roles, Tower Research Capital’s AI/ML Intern role in Gurgaon sets an even higher bar, requiring hands-on agentic AI tooling experience on top of classical ML fundamentals.

How to Apply

1. Visit the official HCLTech job listing: Campus-Trainee, Job ID 146888.
2. Click “Apply now” on the listing page.
3. Create or sign in to your HCLTech candidate profile, or use the “Apply with LinkedIn” option if preferred.
4. Fill in your educational and professional details.
5. Upload your resume, highlighting specific computer vision projects, the architectures and frameworks used, and any performance metrics you evaluated.
6. Submit your application.

Important Links

About HCLTech

HCLTech is a global technology company with more than 223,000 employees across 60 countries, delivering capabilities across digital, engineering, cloud, and AI, with consolidated revenues of $14.8 billion for the 12 months ending June 2026. The company works across major verticals including Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services — this Computer Vision Engineer role likely supports client engagements in surveillance, industrial automation, or smart-spaces applications across one or more of these verticals.

Frequently Asked Questions (FAQs)

Q1. Is this a general software trainee role or something more specialized?
Despite the generic “Campus-Trainee” title on the portal, the actual job summary describes a specialized Computer Vision Engineer II position, with a genuinely technical bar in vision algorithms, MLOps, and model optimization.

Q2. Does “Tier-1” mean only IIT/NIT graduates can apply?
The posting states a preference for “strong Tier-1 fresh graduates,” which typically signals top-tier engineering institutions, but also explicitly allows candidates with 0–1 year of experience — so it isn’t stated as an absolute, exclusive filter.

Q3. Do I need deep learning framework experience, or is traditional CV enough?
Both matter here. The posting explicitly asks for proficiency in at least one deep learning framework (PyTorch or TensorFlow) applied to vision tasks, alongside traditional CV fundamentals like image processing and feature extraction.

Q4. What is the salary for this role?
HCLTech has not disclosed a salary figure in the official posting. Candidates should confirm this during the hiring process.

Q5. Where exactly is this role based?
Chennai, Tamil Nadu — the portal’s top-level location shows “India,” but the job summary specifies Chennai as the actual work location.

Source & Verification

• Source: Official HCLTech careers listing (Job ID 146888)
• Official Website: hcltech.com
• Application Portal: careers.hcltech.com
• Last Checked: 31 August 2026

FreshersJob4U is not affiliated with HCLTech. This post is for informational purposes only. Candidates should verify all details, including current application status, directly on the official application link before applying.

Rohit

Engineering graduate and founder of FreshersJob4U. I write detailed job guides, interview prep resources, and career roadmaps for freshers and early-career professionals in India. This site started from my own experience with the scattered, confusing fresher job search — I wanted to build something cleaner.