Senior Process Engineer/Lead – AI/ML Driven Transformation

Senior Process Engineer/Lead – AI/ML Driven Transformation 12+

Location: Dallas, TX (Hybrid)

Visa: USC | GC | H4EAD only

Client: MPhasis

Full-time requirement

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