Huntington is looking to build and deploy MLOps Automation for their data-driven projects, aiming to streamline the data, analytics, and model development lifecycle by resolving pain points and productivity barriers through automation.
Requirements
- 10+ years of 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)
- Experience developing CI/CD workflows and tools
- Strong automation scripting skills
- Experience in configuration management, test-driven development, and release management.
- Strong analytical and troubleshooting skills.
- Experience with agile development and strong understanding of DataOps and ModelOps principles
- Ability to investigate and analyze information, and to draw conclusions
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.
- 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.
Other
- Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future.
- 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.
- Prepare and present design and implementation documentation to multiple stakeholders.
- Promote automation across the data management and analytics delivery organization.
