Computer Vision Engineer (Intern)

Biz Tech Consultants; New Delhi; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Biz-Tech Analytics in Delhi is seeking a Computer Vision Engineer with 2-4 years of experience to design, develop, and deploy production-grade CV models powering AI automation.

You will work on object detection, tracking, segmentation, and visual inspections, and collaborate with a small team to build scalable data pipelines, train models, and push solutions to edge and cloud environments.

Qualifications

• 2–4 years of experience in computer vision.
• Strong programming skills in Python.
• Hands-on exposure to YOLO, PyTorch or TensorFlow, OpenCV.
• Solid understanding of CV fundamentals: object detection, image segmentation, tracking.
• Familiarity with data preprocessing, augmentation, and evaluation techniques.
• A problem-solving mindset with a strong willingness to learn and take ownership of tasks.
• Ability to work in a fast-paced, collaborative environment.
• Good communication and documentation skills

Responsibilities

• Design, develop, and deploy computer vision models for AI automation.
• Develop and deploy CV models for object detection, tracking, segmentation, and inspections.
• Handle image/video data pipelines: preprocessing, augmentation, and annotation workflows.
• Assist in model training, evaluation, and optimization for accuracy and speed.
• Collaborate with junior engineers on deployment to edge/cloud environments.
• Contribute in code reviews and production-grade practices.

Skills

Python

Education

Bachelor's or Master's degree in Computer Science, AI, ML, Data Science

Tools

YOLO

PyTorch

TensorFlow

OpenCV

Job description

At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure.

We are looking for a Computer Vision Engineers with 2-4 years of experience who are eager to work on challenging real-world problems, build scalable AI pipelines, and grow into future technical leaders.

Responsibilities

As a Computer Vision Engineer, youll work and contribute to the design, development, and deployment of our Computer Vision models that power AI automation solutions.

• Develop and deploy Computer Vision models for applications like object detection, tracking, segmentation, and visual inspections.
• Work on image and video data pipelines, handling data preprocessing, augmentation, and annotation workflows.
• Support in model training, evaluation, and optimization, ensuring models meet performance benchmarks for accuracy and speed.
• Collaborate with junior engineers on model deployment to edge/cloud environments.
• Participate in code reviews, internal discussions, and brainstorming sessions, learning best practices for production-grade AI systems.
• Take ownership of smaller modules and tasks within larger AI solution projects, ensuring timely and quality delivery.

Qualifications

• Bachelors or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a top-tier institute.
• 2-4 years of experience in computer vision.
• Strong programming skills in Python.
• Hands-on exposure to YOLO, PyTorch or TensorFlow, OpenCV, and relevant CV libraries.
• Solid understanding of Computer Vision fundamentals: object detection, image segmentation, tracking, and image processing.
• Familiarity with data preprocessing, augmentation, and basic model evaluation techniques.
• A problem-solving mindset with a strong willingness to learn and take ownership of tasks.
• Ability to work in a fast-paced, collaborative environment
• Good communication and documentation skills

Good to have

• Experience with vision-based automation in the manufacturing industry.
• Exposure to Generative AI workflows.
• Experience with Large Language Models (LLMs) and building multi-modal AI pipelines.
• Understanding of AI governance, data compliance, and security protocols.

Why Biz-Tech Analytics

• Work on challenging AI problems that demand innovation, not routine solutions.
• Lead end-to-end AI projects with full ownership.
• Collaborate with a small, high-performing team where your contributions are visible and impactful.
• Flexible, entrepreneurial work culture with opportunities for leadership and growth.