Job Description

As Machine Learning Ops engineer in our Global Technology Data & Analytics team, you’ll be working with an outstanding global team of data engineers, data scientists and other product managers to build cutting edge analytics solutions and applications. It is an exciting time at McDonald’s as we are growing our analytics and ML engineering capabilities and team.

What will you do?

• Create and drive use of data science project playbooks to drive efficiency and people enablement.
• Support CI/CD pipeline and automation for data ingestion and model deployment.
• Implement model monitoring standards and drive adoption.
• Implement model feedback standards and drive adoption.
• Implement ML Metadata standards and store.
• Implement performance standards and drive model performance optimization.
• Implement model governance and responsible AI standards.
• Maintain tools and infrastructure for data processing for AI/ML development initiatives.

Qualifications

Required Skills:

• 3+ years in DevOps, Data Engineering and ML background with Cloud platforms.
• 3+ years of experience with MLOps tools such as MLFlow and Kubeflow.
• 3+ years of experience in Python scripting and analytics platforms like Databricks or Sagemaker.
• Bachelor’s degree in engineering, statistics, or other field with a quantitative component is required; Master’s degree preferred.

Strongly Preferred Skills:

• Hands-on experience with modern machine learning libraries, frameworks, and technologies.
• Ability to leverage critical thinking and analytical skills to improve business outcomes.
• Excellent written and verbal communication skills.
• Self-motivated with ability to set priorities and mentor others in a performance driven environment.
• Experience with continuous integration and deployment (CI/CD) frameworks.

Additional Information

McDonald’s is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact recruiting.supportteam@us.mcd.com

McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.