Value Driven Solutions
Consulting • Supply Chain & Operations • Finance
Value Driven Solutions is a leading consulting firm specializing in Supply Chain, Operations, Procurement, Finance, Technology, and Leadership Solutions. They provide advisory services to private equity firms and support performance improvement for portfolio companies. With a focus on enhancing enterprise value and optimizing operations, Value Driven Solutions aims to help organizations achieve operational excellence and drive sustainable growth through diagnostic assessments, improvement proposals, and talent development.
Machine Learning Engineer – Portfolio Value Creation
Job not on LinkedIn
4 days ago
Value Driven Solutions
Consulting • Supply Chain & Operations • Finance
Value Driven Solutions is a leading consulting firm specializing in Supply Chain, Operations, Procurement, Finance, Technology, and Leadership Solutions. They provide advisory services to private equity firms and support performance improvement for portfolio companies. With a focus on enhancing enterprise value and optimizing operations, Value Driven Solutions aims to help organizations achieve operational excellence and drive sustainable growth through diagnostic assessments, improvement proposals, and talent development.
📋 Description
• Lead ML maturity assessments and co-develop 12-24 month AI roadmaps aligned with portfolio theses (e.g., operational efficiency, revenue growth) • Build and optimize supervised/unsupervised models for core use cases, ensuring >90% accuracy and low-latency inference for real-time applications • Drive MLOps best practices: CI/CD pipelines, model monitoring/drift detection, and federated learning for multi-portco data silos • Quantify and report impact via dashboards (Tableau/Power BI), presenting to boards on metrics like NPV, IRR, and payback periods • Mentor junior engineers and facilitate knowledge transfer to portco teams for sustained post-contract ownership
🎯 Requirements
• Bachelor's/ Master's in computer science, Data Science, or related field (PhD preferred for advanced modeling) • 5+ years in ML engineering, with 2+ years in PE/industrial contexts delivering >$5M quantified value • Proficiency in Python/R, scikit-learn, TensorFlow/PyTorch, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure) • Experience with edge ML (e.g., TensorFlow Lite) and ethical AI (bias mitigation, fairness audits) • Strong communication skills for translating complex models into executive summaries and workshops
🏖️ Benefits
• white-glove support • direct exposure to PE partners • network of portco leaders
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