Strong C++ (with performance awareness) Embedded Platforms/Systems Knowledge Optionally : Linear Algebra & Basic Math Data Structures & Algorithms Valuable to have: ML Ecosystem Basics Computer Vision Fundamentals

Key Responsibilities

- Define the architecture and technical roadmap for Computer Vision and AI solutions.

- Design, develop, and deploy image and video analytics applications.

- Build and optimize deep learning models for object detection, classification, segmentation, tracking, and OCR.

- Lead model training, evaluation, optimization, and deployment for edge and cloud environments.

- Develop scalable AI pipelines for data collection, annotation, preprocessing, and inference.

- Optimize models for latency, throughput, and hardware acceleration.





- Integrate Computer Vision solutions with enterprise applications and cloud platforms.

- Collaborate with Data Scientists, AI Engineers, Software Developers, MLOps, and Product teams.

- Conduct architecture reviews, code reviews, and technical mentoring.

- Ensure AI model accuracy, robustness, explainability, and compliance with responsible AI practices.

- Stay updated with emerging Computer Vision research and technologies.

Location - REMOTE,PAN INDIA,Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.

📌 Computer Vision Architect (Bengaluru)
🏢 BaseBiz
📍 Bengaluru