Senior Machine Learning Operations Engineer
Há 6 dias
About the Role
We are seeking a highly skilled Senior Machine Learning Operations Engineer to join our Data Science and Advanced Analytics Strategy team at Kimberly-Clark. As a key member of our team, you will be responsible for designing, developing, and deploying machine learning solutions that drive business growth and improve customer experiences.
Key Responsibilities
- Collaborate with data scientists and data architects to translate prototypes into scalable solutions
- Build, deploy, run, and monitor machine learning and AI solutions
- Ensure that models conform to the ML strategy and guidance established
- Participate in the detailed technical design, development, and implementation of machine learning applications
- Work closely with internal customers, data & analytics, and cloud team to build our next generation data science workbench and ML platform and products
Requirements
- Bachelor's degree in management information systems/technology, Computer Science, Engineering, or related discipline
- 10+ years of experience as part of large, remote, global IT teams
- 7+ years focused on development lifecycle product architecture design
- 5+ years proven experience in an engineering role with a focus on ML Ops, Data Engineering, ML Engineering
- 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring
What We Offer
- Great support for good health with medical, dental, and vision coverage options
- Flexible Savings and spending accounts to maximize health care options
- Diverse income protection insurance options
- Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare
About Kimberly-Clark
Kimberly-Clark is a leading global consumer goods company that has been in business for over 150 years. We are committed to driving innovation, growth, and impact through our data-driven and AI-first approach. Our enterprise vision is to embed an algorithm into every K-C decision, process, and product.
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