HCLTech Off Campus Drive 2026: HCLTech Off Campus Drive 2026 for Campus Trainee jobs. Check eligibility, qualifications, selection process, job location and application steps.
🔍 About HCLTech:
HCLTech is a global technology company, home to more than 223,400 people across 60 countries, delivering industry-leading capabilities centred around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2023 totalled $12.8 billion. To learn how we can supercharge progress for you, visit hcltech.com.
💼 Job Role: Campus – Trainee
Location: Chennai
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📝Job Description:
- The Computer Vision Engineer II – Vision Model Development & Automation will focus on building robust, production‑ready computer vision pipelines that solve real‑world problems in surveillance, industrial automation, and smart spaces.
- This role is designed for strong Tier‑1 fresh graduates (or 0–1 year 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.
Responsibilities:
- Develop, integrate, and optimize end‑to‑end computer vision pipelines: from image/video ingestion to 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) that 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/false positives to generate reliable business insights.
- Develop tools and scripts for dataset management: 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.
Skills:
- Strong programming skills in C++ and/or Python, with a focus 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 DL framework (PyTorch/TensorFlow) applied to vision tasks.
- Hands‑on experience (projects/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 handling frame‑level data efficiently.
- Understanding of software engineering basics: version control (Git), unit testing, debugging, and integration of algorithms into larger applications.
- Strong analytical skills to evaluate vision performance: precision/recall/F1, mAP, IoU, MOTA, frame rate (FPS), and resource usage (CPU/GPU/RAM).
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📌 Eligibility Criteria
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Qualification: B.E / B.Tech
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Work Experience: 0 – 1 Year
✅ How to Apply for HCLTech Off Campus Drive 2026?
Interested candidates can apply online by clicking the application link below: