Machine Learning Engineer

hace 1 mes


Córdoba, Córdoba, Argentina Kimberly-Clark A tiempo completo
About Kimberly-Clark

Kimberly-Clark is a leading global healthcare and consumer goods company with a rich history spanning over 150 years. Our legendary brands, such as Huggies, Kleenex, and Kotex, are trusted by millions of people worldwide.

Job Description

We are seeking a highly skilled Machine Learning Engineer to join our Data Science and Advanced Analytics Strategy team in North America. As an ML Ops Engineer, you will play a critical role in developing high-risk, high-reward data science solutions that unlock future growth across the enterprise.

Main Responsibilities:
  • You will work closely with Data Scientists and Data Architects to translate prototypes into scalable solutions.
  • You will build, deploy, run, and monitor ML & AI solutions bridging the gap between Data Scientists and Operations.
  • You will ensure that models conform to the ML strategy and guidance established.
  • You should be proficient at building, training, deploying, and monitoring ML models.
Key Qualifications and Experiences:
  • 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.
  • 5+ years proven experience in MLOps, 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.
About the Role

This newly created individual contributor role will report to the ML Ops Engineer Manager and will build our muscle around machine learning capabilities. You will have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

Estimated Salary Range:

$120,000 - $180,000 per year, depending on location and experience.



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