Machine Learning Engineer
Niles Illinois
Full Time
USD $103455.00/Yr.-USD $129319.00/Yr.
29100
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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
Machine Learning Engineer Niles Illinois Full Time USD $103455.00/Yr.-USD $129319.00/Yr. 29100 mailoutline Get future jobs matching this search or Job Description Position Responsibilities: Design build and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learni...
Machine Learning Engineer
Niles Illinois
Full Time
USD $103455.00/Yr.-USD $129319.00/Yr.
29100
mailoutline
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
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