Senior Process Engineer / Lead – AI/ML Driven Transformation @ Dallas, TX

Dallas, TX, US • Posted 1 day ago • Updated 1 day ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • Process Modeling
  • Process Reengineering
  • Machine Learning Operations (ML Ops)
  • Productivity
  • Machine Learning (ML)
  • Databricks
  • Business Cases
  • Artificial Intelligence
  • Cost Reduction
  • Generative Artificial Intelligence (AI)
  • Lean Six Sigma
  • Return On Investment
  • Microsoft Azure

Summary

Hello,

Hope You are doing Well,

 

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

Location: Dallas, TX

Duration: 12 Months

Experience: 12–15 Years

 

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
  • Lead cross‑functional teams (Process, Data Science, IT, Business)
  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90941033
  • Position Id: 9010320
  • Posted 1 day ago
Contact the job poster
Vardhan Rednam

Vardhan Rednam

Senior Talent Acquisition Specialist @ ProCorp Systems Inc.
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