AI Optimization Manager at Ecolab

Pune, Maharashtra, India

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Business Process AutomationIndustries

Bachelor's degree in Computer Science, Data Science, or a related field (Master’s degree preferred)
Minimum 8-10 years of experience
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
Deep understanding of business processes and how they operate (preferred)
Technical aptitude to understand systems and processes, including AI solutions (preferred)
Experience with SAP and ServiceNow (preferred)
Competence in data analysis and the ability to interact with large volumes of data (preferred)
Focus on business analysis and problem-solving rather than software development (preferred)
Ability to interact with users and provide support in optimizing processes (preferred)

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
Monitor the performance of business processes, such as cash applications, order processes, and billing
Identify issues and resolve them in collaboration with development teams
Provide training data sets for AI models
Interact with users to understand and solve performance issues in automated processes
Analyze data and metrics to detect anomalies and optimize processes