Senior Process Engineer / Lead AI/ML Driven Transformation

Role: Senior Process Engineer / Lead – AI/ML Driven Transformation

Type of Hire: FTE

Experience: 12–15 Years
Role Summary

Own enterprisescale AI/MLled process transformation, driving predictive, autonomous, and intelligent operations across functions.

Key Responsibilities

• Define and lead the AIdriven process excellence roadmap across business units
• Identify highimpact opportunities for advanced analytics, ML, and GenAI in core processes
• Architect scalable solutions involving predictive control, optimization, and decision intelligence
• Lead crossfunctional teams (Process, Data Science, IT, Business)
• Establish standards for model governance, explainability, MLOps, and lifecycle management
• Mentor engineers on AIfirst 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, productiongrade 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

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

Optional AddOns (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