ML Engineer, Fraud Detection

Product, engineering and support teams work out of offices in Laredo, Texas and two nearshore delivery centers. We run one of the larger SaaS platforms for commercial insurance carriers, processing millions of policy transactions a year.

About the role

Looking for an ML Engineer, Fraud Detection who wants to stay somewhere for a while. The Fraud team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. Remote, open to candidates across the US. We keep meetings to a minimum and work mostly async. You get a company laptop and a headset before you start.

Main duties

• Maintain feature pipelines and a feature store such as Feast or Tecton
• Set up evaluation harnesses and regression tests for model quality
• Handle on-call for the ML services the team owns
• Monitor models for drift, data quality issues and latency regressions
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow
• Document model cards, data sources and known failure modes

Required qualifications

• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Knowledge of LLM APIs, prompt design and evaluation methods
• Comfortable with SQL and large-scale data processing in Spark or Ray
• BS or MS in computer science, engineering or a related field
• Experience deploying models as services and monitoring them
• Strong Python and solid engineering habits (testing, packaging, code review)
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)

Salary range: $165,000 - $220,000 a year

Compensation and benefits

• Health, dental and vision coverage starting on day one
• 401(k) with a 100% match up to 5%
• Three weeks of PTO to start
• Annual bonus
• Profit sharing

No agencies or third-party recruiters, please.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Laredo Systems.