Eleven (11) years' experience and a Bachelor’s degree in Engineering, Computer Science or other Science, Technology, Engineering or Mathematics (STEM)
Comfortable with the research environment
Knowledge of and experience with current Machine Learning and Machine Translation technologies
Understanding of the encoder/decoder transformer architecture
Experience working with modern text processing pipelines
Understanding of text encoding vectors
Understanding of the differences between transformer architectures (like Marian) and Large Language Models.
Be able to explain the strengths and weaknesses of these two related architectures for Machine Translation
Ability to evaluate new tools and techniques related to MT
Ability to propose and implement enhancements to MT tools and processing flows
Experience working with Docker, defining, building, and testing containers for deployment.
Experienced in Python, C/C++