MLOps Automation Senior Lead Engineer
About The Position
The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington’s most valuable and most challenging data-driven projects. 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. Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future. 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) or equivalent relevant work experience
- 10+ years of relevant automation engineering experience, of software engineering, in strategy, management consulting, or similar skillset, and of technical leadership experience with data-centric products
- 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)
Nice To Haves
- Strong collaboration skills, with a demonstrated ability to work well as part of a team
- 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
- Flexibility, adaptability, and desire to learn new languages and technologies
- Strong verbal and written communication skills
- Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines
- Strategic, intellectually curious thinker with focus on outcomes
- Professional image with the ability to form relationships across functions
- Ability to train more junior analysts regarding day-to-day activities, as necessary
- Proven ability to lead cross-functional efforts
- Willingness and ability to learn new technologies on the job
- Financial Services background
Responsibilities
- Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation.
- Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future.
- 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.
Benefits
- health insurance coverage
- wellness program
- life and disability insurance
- retirement savings plan
- paid leave programs
- paid holidays
- paid time off (PTO)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
