Director, Machine Learning Ops Engineer

Overview / Objective

Machine Learning Operations Engineer, Director- This position requires a high level of technical expertise in designing, deploying, and maintaining advanced analytic data products such as Machine Learning pipelines, data applications, and model endpoints.  It will require interfacing with a broad audience of teams that support cloud engineering, data governance, data engineering, and advanced analytics to stand up scalable, robust cloud-based solutions.  The role will focus on unleashing the league's data assets to improve league operations at scale within the Player Health and Safety domain.  This role is fully onsite in our New York office, offering 4 remote days each month via accrual in our flex program.  

Responsibilities

• Design, create, and maintain scalable, robust AWS analytics solutions
• Develop and manage Machine Learning that extend CI/CD best practices into model management
• Provide robust solution documentation in order to enable internal operations teams to fully support solutions
• Keep data protection and security considerations at the forefront of every deliverable by closely interfacing with the cloud security engineering team
• Gather requirements and collaborate with stakeholders throughout solution development 

Salary / Pay Range

• This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range.

Required Qualifications

• Experience designing and building end-to-end cloud data product solutions in AWS
• Strong Python skillset
• Experience working with container management (Docker, Kubernetes)
• Git version control proficiency
• Comfortable working with Windows and Linux operating systems
• Experience maintaining large AWS environments with infrastructure as code
• Experience with Machine Learning platforms such as Dataiku or MLFlow
• BS in Computer Science, or related field

Preferred Qualifications

• 10+ years of AWS Cloud Experience
• 5+ years of management experience
• Advanced degree in Data Science, or related field
• Experience with GraphQL
• Full-stack Application Development experience
• AWS Cloud Certifications
• Experience with Python CDK for managing AWS infrastructure

Other Key Attributes / Characteristics

• Ability to work with different people across multiple teams effectively
• Organized and able to effectively communicate progress throughout project lifecycles
• Proven history of innovative problem solving and solution delivery
• Troubleshoot and seek out solutions while working independently

Physical Demands

• n/a

Travel

• < 10%

Terms / Expected Hours of Work

• NFL employees are required to work 40 hours per week. To meet deliverable timelines, this position may need to occasionally exceed 40 hours a week.
• The NFL maintains a Flexible Workplace Policy that provides members of our workforce with opportunities to periodically work from a location of their choice, while maintaining a priority on in-person work at an NFL office, which enables us to more effectively collaborate, connect and build a workplace culture that will drive our continued success. 
• We also continue to prioritize the health and safety of our NFL workforce. Consistent with that commitment, considering the substantial and growing body of evidence that vaccinations remain the most effective protection against the spread the COVID-19, we require that members of our NFL workforce be fully vaccinated. Exceptions are available only for those who need an accommodation for a qualifying disability or sincerely held religious belief or practice.
• The NFL is committed to building a diverse, equitable and inclusive work environment that reflects our incredibly diverse fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, or local law.