Computer Vision Engineer

4 weeks ago

Bengaluru, Karnataka, India QuazaAI Full time
QuazaAI is an innovative fitness technology company based in Bengaluru, India, that merges artificial intelligence with gaming to transform traditional workouts into engaging, interactive experiences. Founded by experts in AI and Gaming experiences, the company aims to make physical activity more enjoyable, accessible and socially connected.

We are seeking a skilled and passionate Computer Vision Engineer to join our dynamic team. The ideal candidate will have a strong background in computer vision and deep learning, with specific experiences in developing and deploying light weight models.

Responsibilities
Develop and Implement Algorithms:

Design and develop advanced computer vision algorithms for 3D pose estimation, ensuring accurate interpretation of keypoint data.
Sequence Classification:

Create and optimize machine learning models to classify and analyze time series data effectively.
Image Enhancement:

Apply AI techniques to enhance image quality, including denoising, super-resolution, and color correction.
Edge Deployment:

Optimize and deploy lightweight models suitable for real-time execution on edge devices with constrained computational resources.
Collaboration:

Work closely with cross-functional teams, including software developers, product managers, and hardware engineers, to integrate computer vision solutions into broader product architectures.
Research and Innovation:

Stay abreast of the latest advancements in computer vision and machine learning to drive continuous improvement and innovation within our products.
Performance Optimization:

Analyze and enhance the efficiency, scalability, and stability of various deployed systems.

Qualifications
Bachelor's degree in Computer Science, Robotics, Mathematics or a related field.
Proven experience in developing computer vision applications using Python and C++, along with frameworks such as OpenCV, TensorFlow, or PyTorch.
Good understanding of machine learning, neural networks, and image processing techniques.
Excellent problem-solving skills and the ability to work independently as well as collaboratively within a team.
[Preferred] Master's or a Ph.D. in a relevant field
[Preferred] Experience with real-time computer vision and video analytics solutions.
[Preferred] Knowledge of cloud platforms such as AWS or Azure for model training, deployment and scaling

Benefits:
Competitive salary, performance-based bonuses and ESOP.
Comprehensive health insurance plans.
Opportunities for professional development and continuous learning.
Collaborative and inclusive work environment.

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