ML Solutions Engineer

January 16

Arize AI

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Arize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues

51 - 200

Description

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

Requirements

• Experience as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production. • Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP) • Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn • 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 • Proficiency in a programming language (Python, R, Java, Go, etc) • Strong Communication Skills - Ability to simplify complex, technical concepts. • 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. • Previous engineering experience in Data Science MLOps ML Frameworks • Culture conscious events such as LGBTQ trivia during pride month • Active Lady Arizers subgroup

Benefits

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

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