AI Operations and Optimization Manager

At Ecolab, you can help take on some of the worlds most meaningful challenges, delivering critical insights and innovative solutions to help our customers achieve clean water, safe food, abundant energy and healthy environments. With our worldwide reach and ambitious growth plans, you will have the opportunity to own your future and impact what matters. Are you ready to make an impact?

AI Operations Manager

What’s in it For You:

• You will join a growth company offering a

  competitive salary and benefits.

• The ability to make an impact and

  shape your career

  with a company that is passionate about growth.
• The support of an organization that

  believes

  it is vital to include and engage diverse people, perspectives and ideas to achieve our best.

• Feel proud each day

  to work for a company that provides clean water, safe food, abundant energy and healthy environments.

What You Will Do:

• Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models.
• Execute daily monitoring of AI and process performance.  Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders
• Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team.  Support objectives to ensure AI performance meets business value objectives.
• Ensure compliance with established responsible AI policies
• Maintain documentation on AI processes

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field.  Master’s degree preferred
• Process domain expertise
• Experience with AI/ML operations and monitoring tools.
• Strong problem-solving and analytical skills.
• Knowledge of AI governance and ethical guidelines.
• Excellent communication and collaboration skills.
• Knowledge of machine learning frameworks and libraries