AI Transformation Lead

Senior Process Engineer / Lead – AI/ML Driven Transformation Note: Its Fulltime (FTE) Role. (Do not Apply C2C candidates) Experience: 12–15 Years ( Dont Apply less then 10) 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 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 #J-18808-Ljbffr TalentOla