Role & responsibilities

Key Responsibilities
Develop AI-powered automation solutions to improve manufacturing efficiency, quality, maintenance, supply chain visibility, customer experience, and business operations.
Develop predictive and prescriptive analytical models for demand forecasting, predictive maintenance, quality analytics, process optimization, inventory optimization, and operational risk management.
Integrate AI solutions with enterprise applications, ERP, MES, CRM, cloud platforms, APIs, data lakes, and Intelligent Automation ecosystems.

Technical Competencies

Artificial Intelligence & Advanced Analytics
Machine Learning (Supervised, Unsupervised & Reinforcement Learning)
Generative AI
Predictive & Prescriptive Analytics
Time Series Forecasting

Manufacturing AI Applications
Predictive Maintenance
Quality Analytics & Defect Detection
Production Optimization
Process Intelligence
Supply Chain Analytics
Demand Forecasting
Inventory Optimization
Energy & Sustainability Analytics
Digital Twin Analytics (Preferred)





Intelligent Automation
Intelligent Automation
Robotic Process Automation (RPA)
Intelligent Document Processing (IDP)

Automation Platforms
UiPath
Automation Anywhere
Microsoft Power Automate
Blue Prism

Preferred candidate profile

Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related quantitative discipline.
35 years of experience in designing and deploying enterprise AI, Machine Learning, Advanced Analytics, and Intelligent Automation solutions, preferably within manufacturing organizations.

Preferred Certifications
Microsoft Certified: Azure Data Scientist Associate
AWS Certified Machine Learning – Specialty
UiPath Advanced RPA Developer
TensorFlow Developer Certification (Preferred)

Core Competencies
AI Solution Architecture
Intelligent Automation
Cloud AI Platforms

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