Artificial Intelligence Research Scientist

Full Description

Overview">

Aixplain empowers innovation through state-of-the-art artificial intelligence and machine learning.

Key Responsibilities">

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• Provide scientific leadership in designing and implementing machine learning models at scale.">

• Develop and deploy state-of-the-art models for cognitive services using Classical Machine Learning and Deep Learning techniques.">

• Collaborate with fellow scientists and software engineers to build out various parts of our AI/ML infrastructure, services, and solutions.">

Requirements">

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• Advanced degree in Computer Science, Physics, Electrical Engineering, Statistics or Mathematics, preferably with specialization in Artificial intelligence, Machine Learning, Speech Recognition, Natural Language Processing, Operations Research, or a related field.">

• 7+ years of Industry experience in designing and implementing machine learning models at scale, with a track record of deploying them in large-scale production environments.">

• Experience with Large Language Models (LLMs), Conversational AI, Virtual Assistants, Document Understanding, Spoken Language Understanding, Information Retrieval, Question/Answering or related fields.">

• Ability to work with minimal supervision, keeping a strong alignment with your technical peers, non-technical partners, and the overall company objective.">

• Fluent in building models with Python and state-of-the-art machine learning libraries (e.g. PyTorch, Tensorflow, MxNet).">

• Experience or willingness to learn and work in Agile and iterative development and DevOps processes.">

Preferred Qualifications">

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• A deep experience and understanding in Statistics, Mathematical models, Multivariate and DL algorithms.">

• Experience in Machine Translation, Document Understanding, Reinforcement Learning with Human Feedback (RLHF), and Multimodal Deep Learning Models.">

• An impressive Google Scholar portfolio and a strong track record in starting or contributing to open-source ML platforms, tools, and projects.">

• Strong communication skills, with the ability to present effective, highly technical and complex solutions and architectures to audiences with limited or no experience in machine learning solutions.">