Are you a fresh graduate or an early-career engineer interested in Computer Vision, Artificial Intelligence, and Machine Learning? A Campus-Trainee – Computer Vision Engineer II opportunity is available in Chennai, Tamil Nadu, for candidates with strong technical fundamentals and hands-on experience in computer vision projects.
HCL Off Campus Hiring | Computer Vision Engineer II : The role focuses on Vision Model Development & Automation, with an emphasis on building robust, scalable, and production-ready computer vision solutions. Candidates will work across areas such as image and video processing, deep learning, model optimization, MLOps, dataset management, and real-time vision applications.
This position is particularly suitable for strong Tier-1 fresh graduates or candidates with 0–1 year of experience who can combine computer vision knowledge with practical software engineering skills.
Job Highlights
- Job Role: Computer Vision Engineer II / Campus-Trainee
- Location: Chennai, Tamil Nadu
- Experience: Freshers / 0–1 year
- Domain: Computer Vision, AI/ML, Vision Model Development
- Programming: C++ and/or Python
- Key Tools: OpenCV, NumPy, PyTorch/TensorFlow, TensorRT, OpenVINO, DeepStream, ONNX Runtime
Key Responsibilities
HCL Off Campus Hiring | Computer Vision Engineer II :- As a Computer Vision Engineer II, your responsibilities may include:
- Developing complete computer vision pipelines from image/video ingestion through inference and metadata generation.
- Implementing and fine-tuning state-of-the-art vision algorithms.
- Working on object detection, tracking, re-identification, segmentation, anomaly detection, and OCR.
- Developing automated training and evaluation pipelines.
- Supporting MLOps workflows for model updates and benchmarking.
- Optimizing vision models for edge and cloud environments.
- Working with TensorRT, OpenVINO, DeepStream, or ONNX Runtime.
- Creating complex event-processing logic.
- Reducing false positives and improving detection reliability.
- Developing dataset management and automation tools.
- Supporting automated annotation and quality-control workflows.
- Working with synthetic data and active learning approaches.
- Troubleshooting computer vision performance under different real-world conditions.
- Improving algorithms and datasets based on observed performance.
- Writing clean, modular, maintainable, and efficient code.
- Documenting architectures, interfaces, benchmarks, and deployment processes.
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Required Technical Skills
Candidates should have strong technical fundamentals in programming and computer vision.
C++ and Python
Strong programming skills in C++ and/or Python are required.
The focus is not simply on knowing programming syntax. Candidates should be comfortable writing:
- Efficient code
- Modular code
- Reusable components
- Maintainable software
- Debuggable applications
Who Can Apply?
HCL Off Campus Hiring | Computer Vision Engineer II : This opportunity is ideal for fresh graduates or candidates with up to 1 year of experience who have strong fundamentals in Computer Vision and programming and want to build a career in AI/ML and vision engineering.
How to Apply for HCL Off Campus Hiring | Computer Vision Engineer II
Interested candidates for HCL Off Campus Hiring | Computer Vision Engineer II Recruitment can apply through the below link :
| Computer Vision Engineer II Apply Link | Click HERE |
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Summary
The Campus-Trainee – Computer Vision Engineer II opportunity in Chennai, Tamil Nadu is aimed at technically strong fresh graduates and early-career candidates who want to work at the intersection of Computer Vision, Deep Learning, Software Engineering, and AI automation.
The role provides exposure to the complete vision development lifecycle — from image/video ingestion and model development to optimization, evaluation, deployment, and real-world troubleshooting.
Candidates with strong C++/Python programming skills, OpenCV experience, deep learning knowledge, computer vision projects, and an understanding of model-performance metrics should find this role particularly relevant.
If you are building a career in Computer Vision Engineer, AI Engineer, Machine Learning Engineer, or Vision Software Engineer roles, developing practical projects around detection, tracking, segmentation, OCR, video analytics, and real-time inference can be an excellent way to demonstrate your skills.
