Machine Learning Data Engineer Specialist
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 DescriptionFIS 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 a Machine
Learning Engineer Specialist 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.Assist in setting roadmap
direction of Fraud Intelligence.Trains and mentors team members and
clients.Requirements:Bachelors or Masters degree in Computer
Science, Mathematics, Engineering or a related field.10+ 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 ten
or more years of experience.If you are interested in joining this
exciting new team, please visit the FIS careers page for more
information.#PlatformFIS is committed to providing its employees
with an exciting career opportunity and competitive compensation.
The pay range for this full-time position is $133,520.00 -
$224,300.00 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, South Hill , Machine Learning Data Engineer Specialist, Engineering , Seattle, Washington
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