Software Engineer I-Machine Learning

$115,590 - $194,180/Yr

Disability Solutions - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

Administrative and Support Services

About the position

The Machine Learning Data Engineer position at FIS involves designing, building, and managing data pipelines and infrastructure to support fraud detection and prevention using machine learning technologies. The role requires collaboration with data scientists and other teams to develop and deploy machine learning models that protect individuals and financial institutions from various types of fraud. The position is based in the greater Seattle/Bellevue area and emphasizes continuous learning and adaptation in a fast-paced environment.

Responsibilities

• Design, build, and manage the data pipelines and infrastructure that collect, store, and process large volumes of transactional and customer data from various sources.
• Develop, deploy, and scale machine learning models and applications in production and lower environments.
• Ensure data quality, security, and availability for the data, notebooks, models, experiments, and applications.
• Integrate ML models with the SaaS platform and other services and tools, such as the model registry, feature store, data lake, and event streams.
• Collaborate with data scientists to develop and test machine learning models.
• Monitor and optimize machine learning models in production.
• Govern the data in the pipeline.
• Stay up-to-date with the latest developments in machine learning and data management.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
• 1+ years of experience in machine learning engineering.
• Experience with data management and data pipelines.
• Experience with building and deploying machine learning models.
• Experience with managing build pipelines.
• Strong programming skills in Python and Java.
• Strong problem-solving skills.
• Excellent communication and collaboration skills.
• Experience with financial services data sources.
• Experience with AWS, Snowflake, Databricks is required.
• Experience with MLflow and Feast or other Feature Stores is helpful.

Nice-to-haves

• Typically requires five or more years of experience.

Benefits

• Competitive compensation based on experience and education.
• Opportunities for career growth and development.