[Hiring] Machine Learning Engineer @VDS Consulting Group

Role Description

As a Contract Machine Learning Engineer within Value Driven Solutions' Agentic AI Practice, you will lead the design, development, and deployment of scalable ML models tailored to accelerate value creation in private equity-backed portfolio companies (portcos) with revenues ranging from $50M to $2B.

• Report directly to portfolio operating executives and PE deal teams
• Embed on-site (up to 75% travel) to identify high-impact use cases
• Transform use cases into production-ready solutions that deliver measurable EBITDA uplift (targeting >$5M annual impact per initiative)
• Conduct data maturity assessments across disparate legacy systems
• Architect end-to-end ML pipelines using Python, TensorFlow/PyTorch, and MLOps tools like Kubeflow and MLflow
• Ensure seamless integration with existing ERP/CRM environments (e.g., SAP, Salesforce)
• Collaborate with cross-functional teams—including data engineers, domain SMEs, and C-suite stakeholders
• Prototype models, validate performance via A/B testing and ROI modeling
• Scale deployments across multiple portcos while adhering to governance standards for data privacy (GDPR/CCPA) and model explainability (SHAP/LIME)
• Quantify business outcomes like 15-25% reductions in downtime or 10-20% revenue uplift from optimized pricing
• Handle unstructured industrial data (IoT sensors, supply chain logs)
• Utilize cloud-based orchestration (AWS SageMaker, Azure ML)
• Align with 100-day value-creation plans
• Bridge technical execution with executive storytelling to secure buy-in for AI adoption

Qualifications

• 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

Requirements

• 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

Benefits

• Direct exposure to PE partners and a network of portco leaders
• Positioning for long-term engagements or permanent transitions

Company Description

Value Driven Solutions specializes in accelerating Agentic AI adoption in private equity portfolios.

To apply

Send CV + short note on the specific impact you’ve driven with ML in private-equity or industrial settings to [email protected] . Include role title in subject line and your availability.