AI Operations and Optimization Manager

5 days ago

Pune, Maharashtra, India Ecolab Global Services Full time US$ 90,000 - US$ 1,20,000 per year

The AI Operations Manager is responsible for managing and optimizing the adoption and performance of AI systems within GBS+. This role involves providing designing and executing model training processes, monitoring daily AI operational performance, and ensuring the accuracy, reliability, and functioning of AI models and applications. The AI Optimization Analyst will work with cross-functional teams to ensure AI models are optimized for performance and scalability.

Whats 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. Masters 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

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