AI and Machine Learning

Top 3 Must Haves:
Focus on NLPs (Natural Language Processing) and/or LLMs (Large Language Model)
Delivering on a product or service (someone from a startup or midsize company would be better than someone coming out of MS or Google)
Machine Learning and Data Science experience could be a recent PHD or MS graduate with internship or few years of work experience. A bachelor’s degree is not sufficient.

Requirements and Skills:
Advanced degree (PhD or Masters) in Computer Science, Computational Linguistics, Mathematics or related areas.
2+ years of hands-on AI/ML experience (fresh PhD grads are encouraged to apply) in Computer Science, Computational Linguistics, Mathematics or related areas.
A strong knowledge of NLP and/or computer vision with experience in deep learning (Transformers, RNNs, LSTM, CNN etc.)
Experience with Transformer models such as GPT series, BERT, USE etc.
Experience with LLMs and prompt engineering is a plus but not necessary
Strong programming skills in Python and or R, Java, C, C++
Strong grasp of object-oriented programming (e.g. SOLID Principles)
Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, Keras, etc.
Experience in source management, code reviews, unit testing, and related modern software development methodologies
Publication record in NLP, Machine Learning, Computer Vision or related areas is preferred.
Hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data.
Experience in educational applications is a plus but not necessary
A passion for making sense of user behavior, using any available method