Software Engineer II - Machine Learning
Company: Fis Global
Location: Seattle
Posted on: May 2, 2024
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Job Description:
Position Type :Full timeType Of Hire :Experienced (relevant
combo of work and education)Education Desired :Bachelor of Computer
EngineeringTravel Percentage :1 - 5%Job DescriptionMachine Learning
Data Engineer IIFIS technology processes more than $40 Trillion per
year and enables 95% of the worlds 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 environmentsEnsure 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:Bachelors or
Masters 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.#PlatformsFIS 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 - $161,570.00 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 StatementFIS 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 StatementFIS 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 hereFor
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
ModelRecruitment 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.#pridepassby Jobble
Keywords: Fis Global, Sammamish , Software Engineer II - Machine Learning, IT / Software / Systems , Seattle, Washington
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