Machine Learning Operation Engineer

Dun & Bradstreet(2 months ago)

HybridFull TimeMedior$60,040 - $81,449 (estimated)Machine Learning / MLOps

About this role

A Machine Learning Operations Engineer at Morningstar is responsible for enabling the company’s AI products that help investors assess companies’ ESG performance. The role bridges software engineering and machine learning to ensure production-grade, reliable, and scalable ML systems. It involves collaborating with researchers and engineers to productize AI prototypes while balancing performance, cost, and reliability.

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Required Skills

Python
Inference Endpoints
LLMs
CI/CD
AWS
Data Pipelines
Vector Databases
Microservices
Observability
SQL

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About Dun & Bradstreet

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Dun & Bradstreet provides commercial data, analytics, and insights that help organizations meet sales and marketing goals, manage global supply chains, and mitigate credit risk. Backed by nearly two centuries of business data, D&B offers authoritative company intelligence, standardized firmographics, risk scores, and identifiers to support customer acquisition, supplier management, and compliance. Their platforms and APIs deliver global coverage and analytics to power finance, procurement, and go-to-market decision-making. Businesses rely on D&B for scalable, data-driven solutions that improve operational and strategic performance.

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