McDonald's - Corporate
Lead Machine Learning Ops Engineer
Chicago, IL | $122K - $165K
Qualifications
- 3+ years of experience in building and deploying data science models, preferably with ML platforms like Databricks or similar
- 3+ years of MLOps experience, familiar with cloud platforms such as AWS
- 3+ years of experience with MLOps tools such as MLFlow, Kubeflow, or similar
- Proficient in coding advance SQL and Python
- Expertise in ML pipeline architectural design
- Experience with continuous integration and deployment (CI/CD) frameworks
Responsibilities
- Design, build and ideate the ML deployment framework to automate ML model deployment & automated model retraining
- Implement ML deployment framework to productionize data science models at scale and ensure ongoing monitoring & governance
- Develop CI/CD pipeline and automation to account for data, code & model changes
- Collaborate globally with data scientists, data engineers, and architects to define and implement technical architecture blueprint for ML solutions
- Build and maintain tools and infrastructure for ML development initiatives
- Develop and update technical documentation for senior leaders and colleagues to serve as a reference guide for ML standards and best practices
Company information
