AI Optimization Manager

2 days ago

Pune, Maharashtra, India Ecolab Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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. Master's 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.

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