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FIS · 3 days ago
Machine Learning Engineer
Seattle, WA
Full-time
Onsite
Mid Level
$98K/yr - $165K/yr
2+ years exp
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Responsibilities
Translate product requirements into clean, maintainable, scalable, and well-documented code.
Design, build, and manage data pipelines and infrastructure for collecting, storing, and processing large volumes of transactional and customer data.
Develop, deploy, and scale machine learning models and applications in production and lower environments.
Ensure data quality, security, and availability for data, notebooks, models, experiments, and applications.
Integrate ML models with the SaaS platform and other services and tools.
Collaborate with data scientists to develop and test machine learning models.
Monitor and optimize machine learning models in production.
Stay up to date with the latest developments in machine learning and data management.
Debug and troubleshoot software issues to ensure business continuity and a high bar for end-user experience.
Participate in code reviews to ensure code quality, maintainability, and adherence to coding standards.
Provide live on-call support, participate in the team on-call rotation, and own production issues from root cause analysis to resolution to future prevention.
Partner with cross-functional teams to bring ideas to life.
Build secure, robust, scalable, and performant systems for processing transactions and managing customer data.
Estimate project timelines and ensure projects stay on track.
Qualification
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Required
At a minimum, a Bachelor's in CS or equivalent education , or equivalent work experience.
Strong problem solving and analytical skills.
Solid computer science fundamentals including data structures, algorithms, design patterns, and performance optimization.
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Experience with data management , data , and build pipelines.
Experience with building and deploying machine learning models.
Experience with AWS, Snowflake, Databricks or similar technologies .
Preferred
Typical qualifications for the role are 2 + years of relevant professional experience or equivalent advanced education.
Experience with financial services data sources.
Experience with MLflow and Feast or other Feature Stores is helpful.
Proficiency in modern development frameworks and languages. (e.g., Java, Python, Go).
Experience with version control systems (Git).
Experience with DevOps practices like continuous integration and continuous delivery (CI/CD).
Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
Benefits
Opportunities to innovate in fintech
Tools for personal and professional growth
Inclusive and diverse work environment
Resources to invest in your community
Competitive salary and benefits
Company
FIS
FIS focuses on retail and institutional banking, payments, asset and wealth management, risk and compliance, and outsourcing solutions.
10,001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$2.5B2022-07-06Post Ipo Debt· $2.5B
2018-05-22Post Ipo Equity· Undisclosed
2001-06-29IPO· nyse:FIS
Leadership Team
Douglas McAllister
CEO | FIS Automotive Market Partner
Stephanie Ferris
Chief Executive Officer and President
Recent News
2024-06-05
Finextra
2024-05-27
Fintech Finance
2024-05-25
Company data provided by crunchbase
