Machine Learning Engineer
2 weeks ago
Junior Machine Learning Ops (MLOps) Engineer Columbus, Ohio
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.
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.
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.
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.
Prepare and present design and implementation documentation to multiple stakeholders.
Promote automation across the data management and analytics delivery organization.
1 year of experience in software development, automation development role with a bachelors degree or equivalent transferable experience through coursework, internships, or work experience in lieu of participation in the Elevate Program.
Experience with one or more coding languages such as Python, C++, or Java.
Experience with or understanding of CI/CD pipelines using containerization tools such as Docker.
Experience with automation using platforms such as GitLab CI, Jenkins, etc.
Experience with or exposure to basic cloud storage services (e.g., S3, Google Cloud Storage), compute, (e.g., or managed machine learning services (e.g., AWS SageMaker, GCP AI Platform).
Ability to investigate and analyze information and draw conclusions based upon data and facts.
Strong technical skills and aptitude with a willingness to learn new languages and technologies.
Strong technical writing capability.
Ability to build strong partnerships and to work collaboratively with all business and IT areas.
Experience with or exposure to Agile methodologies with an understanding of DataOps and ModelOps principles.
Experience with or understanding of configuration management, test-driven development, and release management.
Experience in the Financial Services Industry.
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Machine Learning Engineer
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