Computer Vision Engineer

EQUITY - 0.2% BONUS and SALARY (AFTER SEED FUNDING)

Want to work on the cutting edge and induistry changing AI-Powered Big Data Analytics, Machine learning startup? ...us too.

Sponsorlytix is seeking a Computer Vision Engineer with experience in Python, Yolo, Flask, Annotations, Training Datasets and Models, AWS Sagemaker is an advantage, computer vision frameworks, libraries and dataflow programming. Developing image analysis algorithms and deep learning architectures to solve problems, Designing and creating platforms for image processing and visualization. Who will work alongside the tech lead and be a critical force behind Sponsorlytix's technology goals.

More information about the company is on https://sponsorlytix.ai

Responsibilities

• Develop and Optimize Computer Vision Algorithms: Design, implement, and optimize computer vision algorithms to analyze and interpret sports footage, including player tracking, action recognition, and event detection.
• Data Collection and Annotation: Collaborate with data scientists to collect, preprocess, and annotate large datasets of sports videos and images to train and validate computer vision models.
• Model Training and Evaluation: Train deep learning models (e.g., convolutional neural networks) on sports-related tasks and evaluate their performance using relevant metrics, ensuring high accuracy and efficiency.
• Real-Time Processing: Develop and implement real-time computer vision systems capable of processing live sports broadcasts and providing instant feedback and analysis.
• Integration with Other Systems: Work closely with software engineers to integrate computer vision solutions into larger sports analytics platforms, ensuring seamless functionality and user experience.
• Performance Monitoring and Maintenance: Continuously monitor the performance of deployed computer vision models, update them as necessary, and address any issues that arise in production environments.
• Research and Innovation: Stay up-to-date with the latest advancements in computer vision and machine learning, conducting research to apply new techniques and improve existing methodologies for sports applications.

Lead Our Team and Revolutionise Sports Technology At Sponsorlytix, you'll work with cutting-edge technologies and exceptional people to create software that's integral to some of the biggest sporting events worldwide. Be part of a team that shapes the future of sports technology for sports organizations, brands, athletes, coaches, officials, teams, leagues and millions of fans around the globe!

Our Tech Team Culture Our Computer Vision Team thrives on openness, honesty, and a desire to push the boundaries of technology and innovation. We work collaboratively but with autonomy, focusing on solving the most complex problems within computer vision. Our business and output are challenging, and we excel in a constantly changing and evolving world. We are agile and strive for the highest quality in everything we do. As a team, we are always learning, challenging, and pushing ourselves.

Ready to make a difference in the world of sports and grow your career at the same time? Apply now and become a part of our Sponsorlytix family!

REQUIREMENTS: 2+ years of production coding experience. Good grasp of Python, Flask, Annotations, Yolo, PyTorch, raining Datasets and Models, AWS Sagemaker. Computer Vision frameworks and libraries and Dataflow programming. Ability to take an ownership and leadership role on the team.

Benefits: Equity Share and Bonus Schemes