Machine Learning Data Engineer Specialist
Company: FIS
Location: Seattle
Posted on: April 17, 2024
|
|
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 Specialist
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, experimentsand 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:
Bachelor's or Master's 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.
#Platform
FIS 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 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.
#pridepass
--s-p-m1--
By applying, you consent to your information being processed by
SonicJobs and transmitted to the Employer.
See FIS Global Terms & Conditions at
https://www.fisglobal.com/terms-of-use and Privacy Policy at
https://www.fisglobal.com/privacy and SonicJobs Privacy Policy at
https://www.sonicjobs.com/us/privacy-policy and Terms of Use at
https://www.sonicjobs.com/us/terms-conditions
Keywords: FIS, Auburn , Machine Learning Data Engineer Specialist, Engineering , Seattle, Washington
Click
here to apply!
|