Software Engineer I-Machine Learning
Company: Disability Solutions
Location: Bellevue
Posted on: October 16, 2024
Job Description:
Job DescriptionFIS 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.--
- 1+ 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 $115,590.00 - $194,180.00 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.#pridepass
Keywords: Disability Solutions, South Hill , Software Engineer I-Machine Learning, IT / Software / Systems , Bellevue, Washington
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