49 applicants
FIS · 5 days ago
Senior Machine Learning Engineer
Seattle, WA
Full-time
Hybrid
Senior Level
$116K/yr - $194K/yr
5+ years exp
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Responsibilities
Understand business objectives, product requirements, and develop ML algorithms to achieve them.
Build prototypes and proof of concepts, run experiments, and assess performance.
Provide ideas and alternatives to drive product/feature development.
Design, build, and manage data pipelines and infrastructure for processing large volumes of data.
Deploy machine learning models to production systems, monitor, troubleshoot, and ensure data quality and security.
Collaborate with cross-functional teams to bring ideas to life and build secure, scalable systems for processing transactions and managing customer data.
Qualification
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Required
At a minimum, a Bachelor's in CS or equivalent education and either 2+ years of relevant professional experience or advanced degree such as a master’s or PhD
Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team.
Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
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 5+ 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 is helpful
Proficiency in modern development frameworks and languages. (e.g., Java, Python, Go).
Proven ability to self-direct your technical work and scope projects effectively
Experience leading and mentoring junior engineers
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders
Experience with cloud platforms (AWS, Azure, GCP).
Experience with version control systems (Git), and DevOps practices like continuous integration and continuous delivery (CI/CD)
A 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 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
