Machine Learning Engineer II

Soc code: 15-1252

Job Description:

Design and develop forecasting models using Machine learning (ML) models. Manage development and implementation of software that integrates ML models and algorithms into production environments. Use CI/CD tools to ensure the deployment of ML models into production environments efficiently. Facilitate collaboration among data scientists, ML engineers, and other stakeholders using Git repositories. Leverage SQL to perform basic analysis on historical data to assist in ML model selection. Use AWS SageMaker to automate ML tasks from data preprocessing to model hosting. Use Python to clean, preprocess, and transform raw data into usable formats for training ML models.

Job Requirement:

Must have bachelor’s degree or foreign equivalent in Computer Science/Data Science/or Big Data Analytics and 5 years post-baccalaureate progressive experience as a Software Engineer/or Software Developer. In lieu of Bachelor’s + 5 years of experience, employer will accept master’s degree or foreign equivalent in above mentioned fields of study and 1 year experience as a Software Engineer/or Software Developer or any suitable combination of education, training, or experience. Experience must include at least 1 year in developing forecasting models using Machine learning models, and working with Git, CI/CD, SQL, Python and AWS SageMaker.

Job Location: Katy, TX . Part time/full time telecommuting permitted.