Research Scientist - AI

• Conduct cutting-edge research and develop novel AI algorithms, with a focus on Large Language Models (LLMs), Vision-Language Models (VLMs), and Retrieval Augmented Generation (RAG) techniques.
• Design, implement, and evaluate deep learning models for various applications, including advanced computer vision tasks.
• Contribute to the entire research lifecycle, from theoretical exploration and experimental design to proof-of-concept development and integration into our products.
• Collaborate closely with cross-functional teams, including engineers and product managers, to translate research prototypes into robust and scalable solutions.
• Stay abreast of the latest advancements in AI research, contributing to publications and internal knowledge sharing.

• M.Sc degree from a prominent academic institute in a relevant field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or equivalent).
• Proven industry or research experience with Large Language Models (LLMs), Vision-Language Models (VLMs), and Retrieval Augmented Generation (RAG) systems.
• Strong theoretical and practical understanding of deep learning, particularly for computer vision tasks.
• Excellent programming skills, with strong proficiency in Python.
• Hands-on experience with deep learning frameworks such as PyTorch.
• Familiarity with the HuggingFace Transformers library and ecosystem.
• Demonstrated ability for independent research, problem-solving, and self-learning.

• Experience with deployment of AI models to production environments.
• Familiarity with other deep learning platforms (e.g., Pytorch, Keras).

• Be part of a pioneering company that is transforming the way the world watches sports.
• Work on cutting-edge AI research with the opportunity for significant real-world impact.
• Join a team of top-tier AI researchers and engineers in a collaborative and intellectually stimulating environment.
• Take ownership of challenging research problems and see your work come to fruition in innovative products.
• Thrive in a culture that values curiosity, creativity, and continuous learning.

Pixellot