Machine Learning Engineer Niles, Illinois Full Time USD $103,455.00/Yr.-USD $129,319.00/Yr. 29100 mail_outline Get future jobs matching this search or Job Description Position Responsibilities: Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models Deploy and manage ML models in production environments using containerization and orchestration technologies Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes Travel up to 5% of the time Other duties as assigned Required Education and Experience: Bachelors degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience Preferred Education and Experience: Masters Degree in computer science, Data Science, or other graduate education in related quantitative fields Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar