Staff Machine Learning Engineer

$189,100 - $317,690/Yr

Jobs For Humanity - Bellevue, WA

Full-time - Mid Level

Onsite - Bellevue, WA

Administrative and Support Services

About the position

The Staff Machine Learning Engineer at FIS Global will play a crucial role in developing a new financial technology platform. This position involves leveraging machine learning algorithms to address various fraud-related challenges, collaborating with cross-functional teams, and ensuring the quality and security of data and models. The ideal candidate will possess strong technical skills, a passion for problem-solving, and a commitment to innovation in the fintech space.

Responsibilities

• Understand business objectives and develop ML algorithms to achieve them.
• Build prototypes and proof of concepts to determine feasibility and drive data-based decisions.
• Run experiments to assess performance and improvements.
• Provide ideas and alternatives to drive product features.
• Define data and feature validation strategies.
• Deploy models to production systems and monitor them for performance and troubleshooting.
• Design, build, and manage data pipelines and infrastructure for processing large volumes of data.
• Develop, deploy, and scale machine learning models and applications in production environments.
• Ensure data quality, security, and availability for data, models, and applications.
• Integrate ML models with the SaaS platform and other services.
• Collaborate with data scientists to develop and test machine learning models.
• Drive code reviews to ensure code quality and maintainability.
• Provide live on-call support and own production issues from root cause analysis to resolution.
• Partner with cross-functional teams to bring ideas to life.
• Build secure, robust, scalable, and performant systems for processing transactions.

Requirements

• Bachelor's in Computer Science or equivalent education.
• 5+ years of relevant professional experience or advanced degree (master's or PhD).
• Experience leading projects from architectural design to production.
• Effective communication and collaboration skills.
• Experience with data management and building pipelines.
• Experience with building and deploying machine learning models.
• Experience with AWS, Snowflake, Databricks, or similar technologies.

Nice-to-haves

• 10+ years of relevant professional experience or a combination of work experience and advanced education.
• Deep expertise in at least one area of Machine Learning and AI.
• Experience with financial services data sources.
• Experience with MLflow and Feast or other Feature Stores.
• Proficiency in modern development frameworks and languages (e.g., Java, Python, Go).
• Experience leading and mentoring junior engineers.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with version control systems (Git) and DevOps practices (CI/CD).
• Strong understanding of security best practices for building enterprise applications.

Benefits

• Opportunities to innovate in fintech.
• Tools for personal and professional growth.
• Inclusive and diverse work environment.
• Resources to invest in the community.
• Competitive salary and benefits.