Senior ML Engineer — Real-Time AI & NBA Platform Lead

ITSMF; Bloomington (IL); Hybrid; USD 150.000 - 198.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) plan

Paid time off

Zusammenfassung

State Farm is seeking a hands-on Staff Machine Learning Engineer to architect, build, and scale enterprise-grade AI/ML systems with real-time decisioning capabilities and agentic AI applications. The role focuses on ML systems engineering, productionization, and Next Best Action platforms using Databricks, AWS, and modern AI/ML tech.

We value 10+ years of technical leadership, deep Python/SQL, PySpark, Spark, and Databricks expertise, plus CI/CD and MLflow familiarity.

Qualifikationen

• 10+ years of experience in ML engineering, software engineering, or related technical disciplines.
• Expert-level Python and strong SQL; experience with APIs, microservices, and production software development.
• Expert-level PySpark and Apache Spark; experience building reliable data and feature pipelines.
• Deep hands-on Databricks expertise (Delta Lake, Unity Catalog, Workflows) and strong AWS experience (S3, IAM, compute, and application integration).
• Experience supporting the full production ML lifecycle, including model integration, deployment, serving, monitoring, versioning, and retraining. Familiarity with MLflow and CI/CD.
• Experience building low-latency real-time decisioning, APIs, and scalable recommendation systems.
• Hands-on experience developing LLM-powered or agentic AI applications, including orchestration and guardrails.
• Proven ability to independently architect and deliver complex, reliable enterprise systems.

Aufgaben

• Design and build scalable, production-grade ML systems, APIs, feature pipelines, and reusable engineering components.
• Architect real-time or near-real-time decisioning systems integrating predictive models, business rules, eligibility, prioritization, and optimization.
• Build feedback mechanisms that capture customer interactions and business outcomes to continuously improve recommendations.
• Develop reliable data and ML pipelines using Python, PySpark, SQL, Databricks, and AWS.
• Implement model deployment, serving, versioning, monitoring, CI/CD, and retraining workflows.
• Architect and develop production-grade agentic AI applications, including LLM orchestration, tool integration, evaluation, and guardrails.
• Lead architecture decisions, establish engineering standards, mentor engineers, and collaborate across technical and business teams.

Kenntnisse

Python

SQL

APIs

Microservices

PySpark

Apache Spark

Databricks

AWS

ML lifecycle

MLOps

LLM orchestration

System architecture

Tools

Delta Lake

Unity Catalog

Workflows

S3

IAM

Jobbeschreibung

State Farm is seeking a hands-on Staff Machine Learning Engineer to architect, build, and scale enterprise-grade AI/ML systems with real-time decisioning capabilities and agentic AI applications. The role focuses on ML systems engineering, productionization, and Next Best Action platforms using Databricks, AWS, and modern AI/ML tech.

We value 10+ years of technical leadership, deep Python/SQL, PySpark, Spark, and Databricks expertise, plus CI/CD and MLflow familiarity.