AI Operations and Optimization Manager

6 days ago


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

At Ecolab, you can help take on some of the world's 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?

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.

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

A trusted partner for millions of customers,
Ecolab
is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $14 billion, employs more than 47,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab's innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets.

Follow us on , , and Facebook @Ecolab.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.



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