Machine Learning Engineer

Including documentation and testing of package functions.Automate production deployments incorporating MLOps best practices.Developing alerting tool frameworks for monitoring production model performance and effectiveness. Required: Experience building scalable machine learning systems and data-driven products working with cross-functional teams.Well-developed software engineering fundamentals, including use of proper development, QA, and production environments, and the ability to write production-level code.Experience creating a python packageProficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySparkProficiency in Databricks, Azure Data Factory, and MLFlow.Proficiency in SQL.Good communication skills and the ability to understand and synthesize requirements across multiple project domains.Bachelor's degree in computer science, software engineering or similar combination of training and experience.2+ years of experience with ML Engineering and/or ML Ops.Experience with Agile Software Development.Experience in a large corporation or consulting firmExperience with IoT and/or sensor data.Masters degree in computer science, data science, mathematics, or a related field.4+ years of overall experience in Data Analytics.