Arize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
January 16, 2023
š” Remote ā Anywhere in California
Arize AI is a machine learning observability platform for ML practitioners to detect and troubleshoot model issues
ā¢ Work with customers to provide solutions to their problems ā¢ Teach the product to new users or consult on best practices with directors and executives
ā¢ Experience as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models in production. ā¢ Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP) ā¢ Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn ā¢ 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 ā¢ Proficiency in a programming language (Python, R, Java, Go, etc) ā¢ Strong Communication Skills - Ability to simplify complex, technical concepts. ā¢ 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. ā¢ Previous engineering experience in Data Science MLOps ML Frameworks ā¢ Culture conscious events such as LGBTQ trivia during pride month ā¢ Active Lady Arizers subgroup
ā¢ The opportunity to work with some of the most complex software ever deployed in production ā¢ The opportunity to work with a customer-obsessed team that is looking for a solution engineer with entrepreneurial tendencies ā¢ The opportunity to work with a company that is actively looking for individuals who contribute to a good culture ā¢ The opportunity to work with a team of experts who are interested in advancing the use of responsible AI
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