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Kimberly-Clark Logo

AI/ML Development Engineer, RD&E

Kimberly-Clark

$127,600 - $157,600
Oct 16, 2025
Atlanta, GA, US
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Kimberly-Clark is looking to develop and maintain internal AI and Generative AI capabilities and solutions to drive faster innovation velocity and speed to market within their Research & Development organization.

Requirements

  • Proficiency with Databricks required.
  • Proficiency with Python required.
  • Experience with the Azure cloud computing platform required.
  • Experience with statistical modeling techniques preferred.
  • Experience with API development preferred.
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., Pandas, NumPy), with specific experience in implementing and managing large language models (LLMs) preferred.
  • Solid grasp of software engineering principles, including but not limited to version control (Git), CI/CD practices, and automated testing.

Responsibilities

  • Participate in research and innovation of data science projects that have impact to our products and customers globally.
  • Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production.
  • Design and build systems which improve machine learning scalability, usability and performance.
  • Work with data scientists and data engineers to build pipeline to train and deploy models.
  • Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists and data scientists, other stakeholders throughout the AI development life cycle.
  • Lead the development, deployment, and maintenance of our AI solutions focusing on scalability, efficiency, and functionality.
  • Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models.

Other

  • Travel may include approximately 0-10% of work time.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 5+ years of strong, hand-on data science and machine learning engineering experience developing and maintaining AI solutions.
  • Complex business problem solving experience.
  • Excellent problem-solving skills, ability to work in a team environment, and strong communication skills to interact with various stakeholders