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
- Secure 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.

📌 Computer Vision Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad