Senior Process Engineer

Senior Process Engineer / Lead – AI/ML Driven Transformation

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

Pay: $120,000.00 - $125,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Professional development assistance
• Referral program
• Vision insurance

Experience:

• designing and deploying ML solutions: 6 years (Required)

Work Location: In person

Salary : $120,000 - $125,000