Machine Learning Engineer (Columbus)

Junior Machine Learning Ops (MLOps) Engineer

Columbus, Ohio

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Brief Description :

The MLOps Engineer on the Enterprise Data and Analytics Team will work as part of the larger team to collaborate with Data Scientists to productionize Models used by business users to enhance their ability to make better decisions for Huntington and our customers.

Detailed Description :

This role is an entry level position requiring the individual to be curious and have the aptitude to learn while supporting the teams overall efforts to productionize Models created by Huntingtons Data Scientists.

To be successful the candidate must be driven and well-organized, with strong communication skills. It is essential for the individual to be self-motivated and tenacious, thrive in a collaborative, fast-paced environment, while completing tasks on agreed schedules.

Primary Responsibilities :

• Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline.
• Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks.
• Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.
• Develop and continuously improve automation solutions to enable teams to build and deploy quality data and code efficiently and consistently.
• Build automated testing solutions in support of quality management objectives to reduce manual effort.
• Debug and troubleshoot machine learning model issues during production to ensure performance and stability.
• Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.
• Prepare and present design and implementation documentation to multiple stakeholders.
• Promote automation across the data management and analytics delivery organization.
• Schedule and facilitate meetings as needed.
• Perform other duties as assigned.

Job Requirements :

Minimum Requirements :

Skills :

Preferred Requirements :