Location
Dallas, TX
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
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
ud
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