ML Solutions Engineer

January 16, 2023

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Description

β€’ Work with customers to provide solutions to their problems β€’ Teach the product to new users or consult on best practices with directors and executives

Requirements

β€’ Experience as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production. β€’ Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP) β€’ Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn β€’ Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations β€’ Proficiency in a programming language (Python, R, Java, Go, etc) β€’ Strong Communication Skills - Ability to simplify complex, technical concepts. β€’ A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV. β€’ Previous engineering experience in Data Science MLOps ML Frameworks β€’ Culture conscious events such as LGBTQ trivia during pride month β€’ Active Lady Arizers subgroup

Benefits

β€’ The opportunity to work with some of the most complex software ever deployed in production β€’ The opportunity to work with a customer-obsessed team that is looking for a solution engineer with entrepreneurial tendencies β€’ The opportunity to work with a company that is actively looking for individuals who contribute to a good culture β€’ The opportunity to work with a team of experts who are interested in advancing the use of responsible AI

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