Computer Vision Engineer

Job Summary

We are looking for a talented Computer Vision Engineer with 2-8 years of experience in Computer Vision, Image Processing, Video Analytics, Generative AI, and Python Development. The ideal candidate will be responsible for developing intelligent vision-based solutions, building deep learning models, and deploying AI-powered applications for image and video analysis.

Key Responsibilities

• Design, develop, and optimize computer vision and image processing algorithms.
• Build and deploy AI/ML models for image classification, object detection, segmentation, tracking, and recognition.
• Develop video analytics solutions for real-time and batch video processing.
• Implement Generative AI solutions for image enhancement, image generation, and visual content analysis.
• Analyze large-scale image and video datasets to extract meaningful insights.
• Train, validate, and fine-tune deep learning models using industry-standard frameworks.
• Collaborate with data scientists, software engineers, and product teams to develop AI-powered applications.
• Optimize models for performance, scalability, and deployment.
• Create technical documentation and maintain coding standards.
• Stay updated with the latest advancements in Computer Vision, Gen AI, and Deep Learning.

Required Skills

Computer Vision & Image Processing

• Strong experience in:
• Computer Vision
• Digital Image Processing
• Video Processing
• Feature Extraction
• Object Detection
• Object Tracking
• Image Segmentation
• Face Detection & Recognition
• OCR Technologies

Programming

• Strong proficiency in Python
• Object-Oriented Programming (OOP)
• Data Structures and Algorithms

AI/ML & Deep Learning

• Machine Learning Fundamentals
• Deep Learning Techniques
• CNN (Convolutional Neural Networks)
• Transfer Learning
• Model Optimization

Libraries & Frameworks

• OpenCV
• NumPy
• Pandas
• Scikit-learn
• TensorFlow
• PyTorch
• Keras

Generative AI

• Experience with:
• Generative AI Models
• Vision-Language Models (VLMs)
• Multimodal AI
• Stable Diffusion
• LangChain (Good to Have)
• LLM Integration for Vision Use Cases

Video Analytics

• Video Stream Processing
• Real-time Video Analysis
• Surveillance Analytics
• Activity Recognition
• Video Classification

Cloud & Deployment (Preferred)

• AWS / Azure / GCP
• Docker
• Kubernetes
• MLOps Concepts
• Model Deployment APIs

Database & Tools

• SQL
• MongoDB
• Git/GitHub/GitLab
• Jupyter Notebook

Preferred Skills

• Experience with YOLO, Detectron2, SAM (Segment Anything Model), or similar frameworks.
• Exposure to Edge AI deployments and optimization.
• Experience working with NVIDIA CUDA/TensorRT.
• Knowledge of OCR solutions such as Tesseract, EasyOCR, or PaddleOCR.
• Understanding of MLOps pipelines and model monitoring.
• Experience building production-scale AI solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electronics, or a related field.
• 2-8 years of experience in Computer Vision and AI/ML development.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and in a fast-paced environment.
• Passion for research and innovation in AI technologies.