Machine Learning Engineer – Portfolio Value Creation
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
9 days ago
Vacancies:
1 Vacancy
Job Summary
Machine Learning Engineer Portfolio Value Creation
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. Reporting directly to portfolio operating executives and PE deal teams you will embed on-site (up to 75% travel) to identify high-impact use casessuch as predictive maintenance for industrial assets dynamic demand forecasting for consumer goods pricing optimization for SaaS platforms and working capital improvements through anomaly detectionand transform them into production-ready solutions that deliver measurable EBITDA uplift (targeting >$5M annual impact per initiative).
Your role will involve conducting data maturity assessments across disparate legacy systems architecting end-to-end ML pipelines using Python TensorFlow/PyTorch and MLOps tools like Kubeflow and MLflow and ensuring seamless integration with existing ERP/CRM environments (e.g. SAP Salesforce). You will collaborate with cross-functional teamsincluding data engineers domain SMEs and C-suite stakeholdersto prototype models validate performance via A/B testing and ROI modeling and scale deployments across multiple portcos while adhering to governance standards for data privacy (GDPR/CCPA) and model explainability (SHAP/LIME). Success in this role requires a proven track record of shipping ML solutions in high-stakes resource-constrained environments such as PE transformations or industrial operations where youve quantified business outcomes like 15-25% reductions in downtime or 10-20% revenue uplift from optimized pricing.
This position demands hands-on expertise in handling unstructured industrial data (IoT sensors supply chain logs) cloud-based orchestration (AWS SageMaker Azure ML) and agile iteration to align with 100-day value-creation plans. Ideal candidates thrive in fast-paced matrixed organizations bridging technical execution with executive storytelling to secure buy-in for AI adoption. With Value Driven Solutions white-glove support youll gain direct exposure to PE partners and a network of portco leaders positioning you for long-term engagements or permanent transitions.
Key Responsibilities:
- 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.
Required Qualifications:
- Bachelors/ Masters 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.
Preferred Experience:
- Prior work with Ignition SCADA or IIoT integrations in manufacturing/food & beverage sectors.
- Familiarity with ISA-95 standards for enterprise-system interoperability.
- Consulting background in digital transformation with exposure to third-party vendor evaluations.
To apply: Send CV short note on the specific impact youve driven with ML in private-equity or industrial settings to info@. Include role title in subject line and your availability.
Leadership Solutions Value Driven Solutions Accelerating Agentic AI adoption in private equity portfolios
Required Experience:
Senior Manager
Key Skills
- Project / Program Management
- Project Portfolio Management
- Portfolio Management
- Credit Analysis
- Banking
- Pricing
- Analysis Skills
- Project Management
- Financial Analysis
- Budgeting
- Property Management
- Contracts
About Company
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