Senior Process Engineer / Lead – AI/ML Driven Transformation

Senior Process Engineer / Lead – AI/ML Driven Transformation

Dallas, TX

Fulltime

Experience: 12–15 Years

Role Summar

yOwn enterprise‑scale AI/ML‑led process transformation, driving predictive, autonomous, and intelligent operations across functions

.Key Responsibilitie

• sDefine and lead the AI‑driven process excellence roadmap across business unit
• sIdentify high‑impact opportunities for advanced analytics, ML, and GenAI in core processe
• sArchitect scalable solutions involving predictive control, optimization, and decision intelligenc
• eLead cross‑functional teams (Process, Data Science, IT, Business
• )Establish standards for model governance, explainability, MLOps, and lifecycle managemen
• tMentor engineers on AI‑first process design and capability buildin
• gBuild business cases, quantify ROI, and present outcomes to senior leadershi

p
Mandatory Skills & Experience Requiremen

• tsProcess Engineering Leadership: 10–12 years (enterprise process transformation, Lean/Six Sigma at scal
• e)Advanced Analytics / AI/ML Systems: 6–8 years designing and deploying ML solutio
• nsMLOps & Model Lifecycle Management: 4–6 years (deployment, monitoring, drift, governanc
• e)Python & AI Engineering: 6–8 years (ML pipelines, feature engineering, production‑grade cod
• e)Cloud & Data Platforms: 5–7 years (Azure ML, Databricks, data pipelines, scalable architecture
• s)Production AI Deployment: 4–6 years delivering AI solutions used by operations/business tea
• msStakeholder & Change Leadership: 5–7 years driving transformation with senior leadership engageme

ntSuccess Metri

• csEnterprise‑level cost savings and productivity gai
• nsAI adoption maturity across the process landsca
• peRepeatable AI/process frameworks and standards establish

edOptional Add‑Ons (for both level

• s)Industry 4.0 / Smart Factory exposu
• reDigital twin, simulation, or GenAI for processing documentation and decision suppo
• rtCertifications: Lean Six Sigma, AI/ML, Clo