About the position
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.
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.
Requirements
- 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)
Nice-to-haves
- 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
