AI Optimization Lead

Ecolab Global Services; Pune District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Ecolab Global Services in Pune, India seeks an experienced AI Operations Lead to manage the adoption and performance of AI systems. You will design training runs, monitor operations, and collaborate with cross-functional teams to ensure scalable AI solutions across business processes.

The role emphasizes governance, documentation, and continual process improvements in AI-enabled workflows. Strong analytical and communication skills are essential.

Qualifications

• Bachelor's degree in CS, Data Science or related field; Master's preferred.
• 8–10 years of experience in relevant domains.
• 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.

Responsibilities

• Train AI models and prepare large datasets and prompts for development.
• Monitor AI and process performance daily and troubleshoot issues.
• Drive improvements in prompts, processes, and model accuracy.
• Ensure compliance with responsible AI policies.
• Maintain documentation of AI processes.
• Monitor business processes such as cash applications, orders, and billing.
• Provide training data sets for AI models.
• Interact with users to resolve performance issues.
• Analyze data to detect anomalies and optimize processes.

Skills

AI/ML operations

Monitoring tools

Data analysis

Governance & ethics

Communication & collaboration

Machine learning frameworks

SAP

ServiceNow

Process domain expertise

Education

Bachelor's degree in CS or Data Science

Master's degree preferred

Tools

AI monitoring tools

SAP

ServiceNow

Job description

The AI Operations Lead 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 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.
• Monitoring the performance of business processes, such as cash applications, order processes, and billing.
• Identifying issues and resolving them in collaboration with development teams.
• Providing training data sets for AI models.
• Interacting with users to understand and solve performance issues in automated processes.
• Analyzing data and metrics to detect anomalies and optimize processes.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field. Masters degree preferred
• Minimum 8 -10 years 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

Preferred Qualifications:

• Deep understanding of business processes and how they operate.
• Technical aptitude to understand systems and processes, including AI solutions.
• Experience with SAP and ServiceNow is ideal.
• Competence in data analysis and the ability to interact with large volumes of data.
• Focus on business analysis and problem-solving rather than software development.
• Ability to interact with users and provide support in optimizing processes.