MLOps Automation Senior Engineer

Easton Ops Cols C Oh, United States

Huntington National Bank

Huntington provides online banking solutions, mortgage, investing, loans, credit cards, and personal, small business, and commercial financial services.

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Description

Summary:

Our Enterprise Data and Analytics team is growing, and we are looking for an outstanding MLOps Automation Senior Engineer to join our team. At Huntington, this is an opportunity to work cross-functionally with nearly every team in the company to elevate the organization by uncovering trends and opportunities, decreasing the time to insight, and making data accessible to all. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal. 
As we advance our data and analytics capabilities, we want individuals interested in developing skills to work closely with development, operations, and security teams to identify and resolve pain points and inefficiencies in delivery workflows. The MLOps Automation Senior Engineer’s primary focus is automating development and delivery processes and maintaining the continuous integration and continuous deployment (CI/CD) pipeline.

Duties and Responsibilities:

  • Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation. 
  • 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.
  • Build automated environment provisioning solutions in response to changes in processing demand. 
  • Build automated feedback mechanisms to monitor the performance of models in production.
  • 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.    
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelor’s Degree (Computer Science, Business Administration, Economics or related fields)
  • 4+ years’ experience in automation engineering, software engineering, or related field
  • 4+ years’ experience with one or more coding languages (e.g., JavaScript, C++, Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development platforms (e.g., AWS, Azure, Docker, Kubernetes)

Preferred Qualifications:

  • Collaboration skills, with a demonstrated ability to work well as part of a team
  • Experience developing CI/CD workflows and tools
  • Experience in automation scripting skills
  • Experience in configuration management, test-driven development, and release management
  • Strong analytical and troubleshooting skills
  • Experience with agile development and good understanding of DataOps and ModelOps principles
  • Ability to investigate and analyze information, and to draw conclusions
  • Flexibility, adaptability, and desire to learn new languages and technologies
  • Strong verbal and written communication skills
  • Willingness and ability to learn new technologies on the job
  • Financial Services background


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basi

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Ansible Architecture AWS Azure CI/CD Computer Science Data management DataOps Data pipelines Docker Economics Engineering Java JavaScript Jenkins Kubernetes ML models MLOps Pipelines Python Security TDD Testing

Perks/benefits: Career development

Region: North America
Country: United States

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