Machine Learning Engineer 3-7881

DUTIES: Contribute to a team responsible for developing software and machine learning products in an Agile development environment using Python, SQL, relational databases including MySQL, and machine learning tools including TensorFlow, PyTorch, Scikit-learn, and XGBoost; use AWS services including AWS managed Airflow, and SageMaker; model data using SQL; build data warehouse and data access visualization using Looker, Grafana, and API with Python; perform code optimization, resiliency, and parallel processing; process data using Big Data technologies including Spark and Snowflake; contribute to both software engineering and machine learning sides of projects by implementing, refining, and validating machine learning algorithms for products and applications; take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production; research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; create patents, including Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented by various internal and external partners and vendors; complete case studies, testing, and reporting; design proof of concept solutions and contribute to studies to support future product or application development; collaborate with teams outside of immediate work group; and represent the work team in providing solutions to technical issues associated with assigned projects. Position is eligible for 100% remote work., Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

REQUIREMENTS: Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field, and one (1) year of experience developing software and machine learning products in an Agile development environment using Python, SQL, relational databases (including MySQL, Snowflake, or Teradata), and any of the following machine learning tools: TensorFlow, PyTorch, Scikit-learn, or XGBoost; using AWS services including SageMaker; modeling data using SQL; working with data warehouses and data access visualizations using API with Python; performing code optimization; and processing data using Big Data technologies including Snowflake.

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