Early Warning® · 1 day ago
ML Engineer II
Chicago, IL
Full-time
Hybrid
Entry, Mid Level
$97K/yr - $124K/yr
2+ years expEarly Warning is a trusted name in payments, partnering with institutions to enhance access to financial services. The ML Engineer II will support the deployment and maintenance of machine learning models, collaborating with various teams to improve the efficiency and reliability of ML operations.
FinancePaymentsProperty & Casualty InsuranceFinancial ServicesFraud DetectionRisk Management
No H1B
Responsibilities
Designs, builds, and maintains scalable ML infrastructure and pipelines for model training, deployment, and monitoring
Optimize orchestration processes to ensure efficient deployment and management of predictive models
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
Provide technical assistance to all team members; troubleshoots moderately 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
Required
Education and experience typically obtained through completion of a Bachelor's degree in Computer Science, Engineering, or a related field
Minimum 2 years' experience or internship in Data Science, ML Engineering or ML Ops capacity
Intermediate programming skills in Python and experience with Data Science and ML packages and frameworks
Demonstrated experience with AWS services
Intermediate proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices
Demonstrated experience with MLOps tools such as MLflow, Kubeflow, or similar platforms
Understanding and application 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 – Flexible 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.
Company
Early Warning®
Early Warning Services, LLC, a financial services technology leader, has been empowering and protecting consumers, small businesses, and the U.S.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Cameron Fowler
Chief Executive Officer
Recent News
Payments Dive
2026-02-12
Company data provided by crunchbase