Senior Process Engineer Lead – AIML DDDriven Transformation

Senior Process Engineer / Lead AI/ML Driven Transformation

Experience: 12 15 Years
Role Summary

Own enterprise scale AI/ML led process transformation driving predictive autonomous and intelligent operations across functions.

Key Responsibilities

• Define and lead the AI driven process excellence roadmap across business units
• Identify high impact opportunities for advanced analytics ML and GenAI in core processes
• Architect scalable solutions involving predictive control optimization and decision intelligence
• Lead cross functional teams (Process Data Science IT Business)
• Establish standards for model governance explainability MLOps and lifecycle management
• Mentor engineers on AI first process design and capability building
• Build business cases quantify ROI and present outcomes to senior leadership

Mandatory Skills & Experience Requirements

• Process Engineering Leadership: 10 12 years (enterprise process transformation Lean/Six Sigma at scale)
• Advanced Analytics / AI/ML Systems: 6 8 years designing and deploying ML solutions
• MLOps & Model Lifecycle Management: 4 6 years (deployment monitoring drift governance)
• Python & AI Engineering: 6 8 years (ML pipelines feature engineering production grade code)
• Cloud & Data Platforms: 5 7 years (Azure ML Databricks data pipelines scalable architectures)
• Production AI Deployment: 4 6 years delivering AI solutions used by operations/business teams
• Stakeholder & Change Leadership: 5 7 years driving transformation with senior leadership engagement

Success Metrics

• Enterprise level cost savings and productivity gains
• AI adoption maturity across the process landscape
• Repeatable AI/process frameworks and standards established

Optional Add Ons (for both levels)

• Industry 4.0 / Smart Factory exposure
• Digital twin simulation or GenAI for process documentation and decision support
• Certifications: Lean Six Sigma AI/ML Cloud