Senior Process Engineer / Lead – AI/ML Driven Transformation

Senior Process Engineer / Lead – AI/ML Driven Transformation Dallas, TXFulltime Experience: 12–15 YearsRole SummaryOwn enterprise‑scale AI/ML‑led process transformation, driving predictive, autonomous, and intelligent operations across functions.Key ResponsibilitiesDefine and lead the AI‑driven process excellence roadmap across business unitsIdentify high‑impact opportunities for advanced analytics, ML, and GenAI in core processesArchitect scalable solutions involving predictive control, optimization, and decision intelligenceLead cross‑functional teams (Process, Data Science, IT, Business)Establish standards for model governance, explainability, MLOps, and lifecycle managementMentor engineers on AI‑first process design and capability buildingBuild business cases, quantify ROI, and present outcomes to senior leadershipMandatory Skills & Experience RequirementsProcess 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 solutionsMLOps & 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 teamsStakeholder & Change Leadership: 5–7+ years driving transformation with senior leadership engagementSuccess MetricsEnterprise‑level cost savings and productivity gainsAI adoption maturity across the process landscapeRepeatable AI/process frameworks and standards establishedOptional Add‑Ons (for both levels)Industry 4.0 / Smart Factory exposureDigital twin, simulation, or GenAI for processing documentation and decision supportCertifications: Lean Six Sigma, AI/ML, Cloud