Software Engineer II - Machine Learning

Job Description
Position Type :
Full time Type Of Hire :
Experienced (relevant combo of work and education) Education Desired :
Bachelor of Computer Engineering Travel Percentage :
1 - 5%
Job Description
Machine Learning Data Engineer II 
FIS technology processes more than $40 Trillion per year and enables 95% of the world’s leading banks. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft, to credit card fraud, to money laundering, and more. The technology you build will protect individuals, businesses and financial institutions from fraudsters ranging from individuals up to multinational organized crime rings. 
 The fraud prevention space is fast-paced and rapidly changing. You will work cross-discipline with data scientists, analytics, product, and more. Our ideal candidate not only brings technical skills to the table but has the appetite to dig into deeply complex problems, while learning new skills along the way. We are leading the way and leveraging our wealth of data to create best-in-class solutions. 
Note: This position is based in the greater Seattle/Bellevue, WA area. We plan to bring the team together regularly for design, ideation, and connection building. 
Job Description: 
We are looking for talented Machine Learning Engineers to join our team. The ideal candidate will have experience in data management, building and deploying machine learning models, and managing the build pipelines. 
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. 
5+ 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. 
Typically requires five or more years of experience. 
If you are interested in joining this exciting new team, please visit the FIS careers page for more information. 
#Platforms
FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $96,170.00 - $(phone number removed) and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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