Job Overview
| Particulars | Details |
|---|---|
| Position | Computer Vision / AI Engineer |
| Company | Webtunix |
| Location | Mohali |
| Job Type | Full-Time |
| Experience | 2 - 5 years |
| Category / Department | IT |
| Application Mode |
🏢 About Webtunix
Company Overview:
Webtunix is an Artificial Intelligence, Business Intelligence, Machine Learning, and Data Science technology and services company. The company develops AI-powered solutions and platforms designed to help organizations improve efficiency, optimize processes, and solve complex business challenges.
Webtunix provides services across Artificial Intelligence, Business Intelligence, Machine Learning, Data Science, and AI model development and deployment. The company states that it has developed more than 100 AI models for customers and serves clients across India, UAE, Canada, Australia, China, and the USA.
Company Mission:
To delight customers and stakeholders through innovative and collaborative technology solutions while using advanced tools, frameworks, and technologies to provide flexible and effective partnerships.
Company Vision:
To accelerate business processes and help organizations grow by leveraging Artificial Intelligence and enabling businesses to achieve more through AI-driven solutions.
Core Values / Principles
Innovation
Collaboration
Customer focus
Flexible technology solutions
Business growth through AI
Data-driven problem solving
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight your Computer Vision and AI/ML experience prominently.
Showcase hands-on Python and OpenCV projects.
Mention PyTorch/TensorFlow experience and the models you have developed.
Clearly list YOLO, object detection, and object tracking projects.
Include experience with RTSP and real-time video processing.
Highlight Edge AI deployment experience.
Mention ONNX, TensorRT, TFLite, GStreamer, or FFmpeg if you have worked with them.
Include Linux and Git experience.
Quantify improvements such as inference speed, FPS, accuracy, latency, or model optimization where possible.
Interview Preparation:
Revise object detection and object tracking concepts.
Prepare to explain YOLO architecture and inference optimization.
Review OpenCV image and video processing techniques.
Understand RTSP streaming and real-time video pipelines.
Prepare PyTorch/TensorFlow model development questions.
Review Edge AI deployment and model optimization.
Study ONNX, TensorRT, and TFLite conversion and inference concepts.
Be prepared to discuss handling video-processing latency and FPS requirements.
Prepare examples of previous computer vision projects.
Professional Tips:
Tailor your resume toward computer vision rather than general software development.
Showcase production-level AI deployment experience wherever applicable.
Include links to relevant projects, GitHub repositories, or technical portfolios if available.
Clearly mention your experience with real-time video and edge-device environments.
📝 Job Description
Position Details:
Webtunix is looking for Computer Vision / AI Engineers to join a project focused on developing a SOC AI Camera System. The selected candidates will work on real-time video analytics and computer vision solutions for security camera environments.
The role involves developing AI models for person, vehicle, intrusion, PPE, and guard-presence detection, along with event generation and deployment of AI solutions on edge devices.
Benefits / Compensation
2 openings available.
Opportunity to work on a real-time AI video analytics project.
Hands-on exposure to computer vision, object detection, tracking, and Edge AI.
Compensation: Not Provided.
Additional benefits: Not Provided.
Candidate Requirements:
2–5+ years of relevant experience.
Strong Python programming skills.
Experience with OpenCV.
Experience with PyTorch and/or TensorFlow.
Knowledge of YOLO and object detection.
Experience with object tracking.
Understanding of RTSP and real-time video processing.
Experience with Edge AI deployment.
Linux experience.
Git experience.
Preferred Skills:
ONNX
TensorRT
TFLite
GStreamer
FFmpeg
Real-time video analytics
AI model deployment
Computer vision model optimization
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can send their updated resume to hr@webtunix.com.
🎯 Key Responsibilities
- ✓ Develop computer vision and AI solutions for security camera systems.
- ✓ Build real-time video analytics pipelines.
- ✓ Develop person, vehicle, intrusion, PPE, and guard-presence detection systems.
- ✓ Implement object detection and tracking using technologies such as YOLO.
- ✓ Process real-time video streams using RTSP.
- ✓ Generate security-related events from AI video analytics.
- ✓ Deploy AI models and applications on edge devices.
- ✓ Optimize computer vision models for real-time inference.
- ✓ Work with Linux-based environments and Git.
- ✓ Integrate and evaluate AI frameworks and deployment technologies.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Computer Vision / AI Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What position is Webtunix hiring for?
Webtunix is hiring Computer Vision / AI Engineers.
Where is the position located?
The position is located in Mohali.
How much experience is required?
The vacancy specifies 2–5+ years of experience.
How many openings are available?
There are 2 openings.
What project will the selected engineers work on?
The project is a SOC AI Camera System focused on real-time AI video analytics for security camera systems.
Which programming language is required?
Python is a key required skill.
Which AI frameworks are mentioned?
PyTorch and TensorFlow are mentioned in the requirements.
Is YOLO experience required?
Yes. YOLO and object detection/tracking are listed among the required skills.
Which technologies are preferred?
ONNX, TensorRT, TFLite, GStreamer, and FFmpeg are listed as preferred technologies.
How can candidates apply?
Candidates can send their resume to hr@webtunix.com.
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