Design, implement, and evaluate novel machine learning and deep learning algorithms, with a
Iterate on predictive and decision-making model development, starting from the data needed for
Collaborate with other research engineers to prototype and validate complex solutions from academic
Conduct experiments to benchmark new techniques and evaluate model behavior in dynamic or simulated
Develop tools and frameworks to support scalable and reproducible research.
Communicate research findings to leadership in a concise, and convincing manner.

🎯 Requirements

Master’s Degree in Artificial Intelligence, Computer Science, Computer or Electrical Engineering
Highly skilled with AI and ML frameworks, such as Pytorch or Tensorflow
Skills with debugging and determining requirements for AI models in terms of data, training and
Understanding of Transformer architectures, attention mechanisms, multi-modal foundation models

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