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Early Warning® · 2 weeks ago

Senior ML Ops Engineer

Chicago, IL

Full-time

Hybrid

Mid, Senior Level

$124K/yr - $165K/yr

5+ years exp

Early Warning is a trusted name in payments, partnering with institutions to increase access to financial services. The Senior ML Ops Engineer will design and maintain scalable ML infrastructure and pipelines, ensuring efficient deployment and management of predictive models while collaborating with various teams to automate model productionalization.

Financial ServicesFraud DetectionPaymentsRisk Management

No H1B

Responsibilities

Designs, builds, and maintains scalable ML infrastructure and pipelines for model training, deployment, and monitoring

Optimizes orchestration processes to ensure efficient deployment and management of predictive models

Optimizes resource usage to minimize infrastructure expense while maximizing performance

Monitors and maintains the performance, security, and scalability of the ML infrastructure

Collaborates with data scientists and software engineers to streamline the ML lifecycle from development to production

Develops and maintains tools for data analysis, experimentation, model versioning, and artifact management. Supports data and model governance requirements as needed

Creates robust monitoring systems to measure and trend model performance, detect model drift, and ensure optimal performance of models in production

Develops automation scripts and tools to improve the efficiency and reliability of MLOps processes

Optimizes ML workflows for efficiency, scalability, and reliability

Provides technical assistance and mentorship to all team members; troubleshoots complex issues and escalates issues as necessary

Supports the company commitment to risk management and protecting the integrity and confidentiality of systems and data

Qualification

PythonAWS servicesMLOps toolsContainerization technologiesDistributed computingReal-time modelsTroubleshootingCollaborationMentorship

Required

Education and experience typically obtained through completion of a Bachelor's degree in Computer Science, Engineering, or a related field

Minimum 5 years' experience in Data Science, ML Engineering or ML Ops capacity

Strong programming skills in Python and experience with Data Science and ML packages and frameworks

Experience with AWS services

Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices

Experience deploying models with MLOps tools such as MLflow, Kubeflow, or similar platforms

Expert understanding of data management, distributed computing, and software architecture principles

Proven experience delivering real-time models in production environments

Background and drug screen

Preferred

Additional related education and/ or work experience preferred

Experience in hybrid (OnPrem / Cloud) environments

Hadoop / Hive / Cloudera experience

Distributed computing programming skills such as Spark

Experience with Scala / Java programming languages

Benefits

Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

12 weeks of Paid Parental Leave

Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.