Website:
fitnambi.com
Job details:
Company Description
FitNambi is a transformative sports technology platform that revolutionizes event management, academy operations, and community engagement within the sports ecosystem. Offering end-to-end solutions, FitNambi simplifies tournament management, player performance tracking, and academy oversight while fostering connections among athletes, coaches, and enthusiasts. With features like AI-powered analytics and tools for multiple sports, FitNambi supports the growth of events and individuals across grassroots and elite levels. By bridging the gap in Indian sports, FitNambi empowers communities by promoting opportunities in Tier-2 and Tier-3 cities and supporting small and large-scale sports events alike.
Role Description
This is a full-time remote role for a Machine Learning and Computer Vision Expert. The role includes developing and implementing advanced machine learning algorithms, designing computer vision models to analyze sports-related data, training and fine-tuning models, and evaluating their performance. The expert will also work closely with cross-functional teams to gather requirements and ensure the delivery of data-driven solutions that enhance FitNambi’s AI capabilities for sports analytics and management.
Qualifications
- Strong expertise in Machine Learning, Deep Learning, and Artificial Intelligence.
- Proficiency in designing and implementing Computer Vision algorithms and techniques.
- Experience with Python and relevant libraries like TensorFlow, PyTorch, OpenCV, or Scikit-learn.
- Ability to apply Data Analysis and Preprocessing skills to ensure data quality and prepare training datasets.
- Familiarity with Model Evaluation and Optimization to enhance performance and scalability of solutions.
- Demonstrated proficiency in problem-solving, creativity, and implementing cutting-edge AI research in practical applications.
- Understanding of cloud platforms and tools for deploying machine learning and computer vision solutions, such as AWS, Azure, or Google Cloud, is a plus.
- A degree in Computer Science, Data Science, Artificial Intelligence, or related fields is preferred.
- Experience in the sports or fitness technology sector is an added advantage.
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