Campus-Trainee (Computer Vision Engineer II)

HCLTech

Company: HCLTech
Salary: Not Mentioned
Location: Chennai, Tamil Nadu, India
Experience: 0-1 year / Freshers
Qualification: Bachelor's Degree (Tier-1 College Preferred)

Overview AI Summary

The Campus Trainee position at HCLTech offers a phenomenal starting point for entry-level computer vision enthusiasts eager to build real-world AI systems. In the role of Computer Vision Engineer II, you will be tasked with constructing automated and optimized vision pipelines that analyze video and image feeds in real time. This position is specially curated for fresh graduates from Tier-1 institutions or junior developers with up to a year of practical experience. Candidates who bring strong proficiency in Python or C++, alongside knowledge of standard libraries like OpenCV and deep learning platforms, will find this to be an engaging and technically enriching ecosystem. By joining a global brand like HCLTech, you will gain hands-on exposure to advanced MLOps, camera calibration, and model optimization frameworks. This is an exceptional environment to transition academic knowledge into high-value engineering skills while shaping the future of smart spaces and industrial automation.

Job Overview

HCLTech is seeking ambitious, high-caliber fresh graduates and early-career professionals for the position of Computer Vision Engineer II (Vision Model Development & Automation) under their Campus Trainee initiative. This entry-level role is tailored for individuals who possess a solid grasp of image processing, neural network architectures, and the software development principles required to automate, optimize, and scale artificial intelligence solutions in production settings.

Key Responsibilities

Pipeline Engineering: Create, deploy, and refine robust end-to-end computer vision pipelines starting from live video feed ingestion to inference, post-processing, and structured output generation.
Model Implementation: Integrate and fine-tune state-of-the-art vision models for real-world tasks including object tracking, semantic segmentation, image detection, and optical character recognition (OCR).
MLOps & Automation: Build and support automated pipelines for model validation, training, and benchmarking to expedite edge and cloud deployment.
Optimization & Performance: Work closely with platform teams to minimize execution latency and maximize throughput by utilizing optimization toolkits like ONNX Runtime, OpenVINO, or TensorRT.
Logic Development: Engineer spatial and temporal rules to translate frame-by-frame detections into actionable business intelligence while filtering out background noise.
Data Management: Write automation scripts to streamline data labeling, execute quality assurance checks, and integrate active learning feedback loops.

Required Qualifications

An engineering or technical degree from a Tier-1 college or university.
Up to 1 year of practical experience or comprehensive project work in machine learning and computer vision.
Strong programming capabilities in Python or C++.
Good understanding of core image processing methods, geometry, and camera calibration.
Familiarity with OpenCV, NumPy, and deep learning frameworks like PyTorch or TensorFlow.
Basic knowledge of version control tools such as Git.

Preferred Qualifications

Prior experience deploying convolutional neural networks (CNNs) and detection architectures like YOLO, SSD, or Faster R-CNN.
Familiarity with video processing frameworks, streaming protocols (RTSP, HLS), and handling multiple frame formats.
Knowledge of optimization software such as DeepStream, TensorRT, or OpenVINO.

Work Model & Location

This is a physical, office-based role located at the HCLTech campus in Chennai, Tamil Nadu, India.

About the Company

HCLTech is an expansive, global technology enterprise representing a diverse community of over 223,000 professionals across 60 countries. They deliver next-generation solutions centered around digital services, cloud enablement, engineering, and artificial intelligence to assist top-tier enterprises in resolving their most complex modern business challenges.

Why This Role May Be Relevant

For an aspiring AI/ML professional, this Campus Trainee role offers a rare chance to bridge academic theory with large-scale industrial execution. By working directly on production pipeline automations and interacting with cutting-edge tooling, you will rapidly develop the engineering acumen required to design high-impact vision products.

Application Guidance

To apply, please access the official HCLTech Career portal via the provided link. Be sure to highlight relevant academic projects, internships, GitHub repositories, or portfolios that showcase your ability to design and write computer vision scripts.

Frequently Asked Questions

Q: Is this opportunity open to non-Tier-1 college graduates?

While the mandate highlights candidates from Tier-1 colleges, any applicant with a strong portfolio of projects in deep learning, C++, and Python is encouraged to review the alignment and apply.

Q: What programming languages are required for this role?

A high level of proficiency in Python and/or C++ is necessary, as you will be writing modular, production-ready algorithms for video processing.

Q: Where will this job be based?

This role is located at HCLTech's offices in Chennai, Tamil Nadu, India.

Source & Disclaimer

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