Machine Learning Engineer

About This Role

Build production-grade machine learning capabilities that help ISA and its customers operate data centers with greater accuracy, resilience, and efficiency. You’ll develop models and services for capacity forecasting, anomaly detection, asset reconciliation, and sustainability insights using OSPI®, DCIM telemetry, CMDB data, and workflow events across the ISA platform.

Responsibilities

• ›Design, train, evaluate, and deploy ML models for forecasting, anomaly detection, and operational recommendations.
• ›Build reliable data and feature pipelines from OSPI®, telemetry, CMDB, and integration sources.
• ›Operationalize models with monitoring, retraining, versioning, and performance validation.
• ›Partner with Product, Engineering, and Solutions teams to turn customer workflows into measurable ML use cases.
• ›Document model assumptions, evaluation methods, and implementation guidance for internal and external stakeholders.

Requirements

• ✓4+ years of experience in machine learning engineering, applied ML, or data science with production ownership.
• ✓Strong Python skills and experience with common ML libraries/frameworks.
• ✓Experience building data pipelines and working with SQL and large-scale structured datasets.
• ✓Familiarity with MLOps practices including model serving, monitoring, CI/CD, and reproducibility.
• ✓Ability to frame business and operational problems as measurable ML outcomes.
• ✓Nice to have: experience with time-series forecasting, anomaly detection, or data center / infrastructure operations.

What We Offer