Remote Azure Data Factory Jobs in Detroit, MI (NOW HIRING)

Summary:

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.

Basic Qualifications:

• 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)

Preferred Qualifications:

• 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

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

Workplace Type:

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.

Compensation Range:

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

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

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.