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Machine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a MLOps Engineer role (full-time). with Attain. in CHICAGO, US. Imported listing (source: jobscroller.net). Apply on the employer's site (jobscroller.net).
Imported listing (source: jobscroller.net) · Apply on jobscroller.net
CHICAGO · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobscroller.net
Attain is seeking a Senior MLOps Engineer to design, build, and operate production-grade machine learning infrastructure for its B2C fintech platform. This infrastructure-first role focuses on creating scalable pipelines, model-serving systems, and observability tooling that enable rapid, reliable deployment of predictive models across consumer decisioning, fraud detection, and risk management. The ideal candidate combines strong software engineering fundamentals with hands-on experience in cloud-native ML operations, leveraging modern AI coding assistants to accelerate development while maintaining rigorous standards for performance, security, and compliance.
Responsibilities
- Build, deploy, and maintain production ML pipelines, feature engineering systems, and model-serving infrastructure on GCP and Kubernetes
- Implement CI/CD workflows, automated retraining, and progressive rollout strategies (canary, shadow testing) for ML models
- Instrument systems with monitoring, alerting, and dashboards using Prometheus/Grafana to track drift, degradation, and performance
- Direct AI coding agents to generate, test, and ship infrastructure code while applying expert judgment for verification
- Partner with data scientists, analysts, and product teams to streamline model iteration and deployment lifecycles
Requirements
- 5+ years of experience as an ML Platform Engineer, MLOps Engineer, or similar role building production ML systems
A
Attain
Chicago · US · 147+ employees
Attain is a technology company that provides a consumer purchase data ecosystem, helping brands and marketers target, measure, and optimize media campaigns based on real-world sales outcomes. Formerly known as Klover, the company enables consumers to permission their data in exchange for financial benefits and rewards.
