Senior Machine Learning Engineer

4 weeks ago


Seattle, Washington, United States FIS Full time

About the Role:

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at FIS. As a key member of our Fraud Intelligence team, you will be responsible for developing and deploying machine learning models to detect and prevent fraud on a global scale.

As a Senior Machine Learning Engineer, you will work closely with data scientists, analytics, and product teams to design, build, and manage data pipelines and infrastructure that collect, store, and process large volumes of transactional and customer data from various sources.

You will also be responsible for developing, deploying, and scaling machine learning models and applications in production and lower environments, ensuring data quality, security, and availability.

Additionally, you will collaborate with cross-functional teams to bring ideas to life and partner with data scientists to develop and test machine learning models.

What You Will Need:

At a minimum, a Bachelor's in CS or equivalent education and either 3+ 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.

Added Bonus If You Have:

Typical qualifications for the role are 7+ 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.

What We Offer You:

At FIS, we hire the best.

In Return, You Receive Exceptional Benefits Including:

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.



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