Early Warning's Machine Learning Operations team needs to enable Data Scientists to build and deploy innovative models faster, more accurately, and more efficiently by developing cutting-edge, cloud-native capabilities to deliver predictive modeling solutions, thereby helping to keep fraud and bad actors out of the banking system.
Requirements
- 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.
- Hadoop / Hive / Cloudera experience
- Distributed computing programming skills such as Spark
- Experience with Scala / Java programming languages.
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.
- 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.
Other
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
- This position is ineligible for employment Visa sponsorship.
- 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.
- Background and drug screen.
