Senior Machine Learning Engineer
Company: Disability Solutions
Location: Seattle
Posted on: September 30, 2024
Job Description:
Position Type : Full time Type Of Hire : Experienced (relevant
combo of work and education) Travel Percentage : 1 - 5%Job
DescriptionJob Posting DescriptionAs the world works and lives
faster, FIS is leading the way.-- Our fintech solutions touch
nearly every market, company and person on the planet. Our teams
are inclusive and diverse. Our colleagues work together and
celebrate together. If you want to advance the world of fintech,
we'd like to ask you: Are you FIS?------ About the team: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.About the role:We
are looking for a Senior Machine Learning Engineer to help us build
a brand-new financial technology platform for the future. We look
for people who operate like owners, who loves to learn, have grit,
and operate with integrity and empathy. You're encouraged to apply
even if your experience doesn't precisely match the job
description. Your skills and passion will stand out - and set you
apart. We welcome diverse perspectives and people who are not
afraid to challenge assumptions.Note: We have a hybrid work
environment in our Seattle/Bellevue, office unless the role or
business dictates otherwise.What you will be doing:
- Understand business objectives, product requirements and
develop ML algorithms that achieve them.
- Build Prototypes, and proof of concepts to determine
feasibility, then drive data-based decisions.
- Run experiments to assess performance and improvements.
- Provide ideas and alternatives to drive a product/feature.
- Define data and feature validation strategies.
- Deploy models to production systems and operate them including
monitoring and troubleshooting
- 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.
- Drive code reviews to ensure code quality, maintainability, and
adherence to coding standards.
- Provide live on-call support by participating in the team
on-call rotation and owning production issues from root cause
analysis to resolution to future prevention.
- Partner with cross-functional teams (engineering, product,
design, security, compliance etc.) to bring ideas to life
- Build secure, robust, scalable, and performant systems for
processing transactions and managing customer data.What you will
need:
- At a minimum, a Bachelor's in CS or equivalent education and
either 3+ years of relevant professional experience or advanced
degree such as a master's or PhD.
- Experience leading projects from architectural design to
production, while setting and maintaining high standards of
technical excellence across your team.--
- Effective communication and collaboration skills, and a history
of collaborating effectively with your team and cross-functional
stakeholders.--
- Excellent communication and cross-functional collaboration
skills to thrive in a fast-paced environment.
- Experience with data management, data, and build
pipelines.
- Experience with building and deploying machine learning
models.
- Experience with AWS, Snowflake, Databricks or similar
technologies.Added bonus if you have:
- Typical qualifications for the role are 7+ years of relevant
professional experience or a combination of work experience and
advanced education.
- Deep expertise in at least one area of Machine Learning and
AI.
- Experience with financial services data sources.
- Experience with MLflow and Feast or other Feature Stores is
helpful.
- Proficiency in modern development frameworks and languages.
(e.g., Java, Python, Go).--
- Proven ability to self-direct your technical work and scope
projects effectively.
- Experience leading and mentoring junior engineers.
- Excellent communication and collaboration skills to influence
both technical and non-technical stakeholders.
- Experience with cloud platforms (AWS, Azure, GCP).
- Experience with version control systems (Git), and DevOps
practices like continuous integration and continuous delivery
(CI/CD).
- A strong understanding of security best practices for building
enterprise applications.What we offer you:At FIS, we hire the best.
In return, you receive exceptional benefits including:
- Opportunities to innovate in fintech.
- Tools for personal and professional growth.
- Inclusive and diverse work environment.
- Resources to invest in your community.
- Competitive salary and benefits.#AtelioFIS is committed to
providing its employees with an exciting career opportunity and
competitive compensation. The pay range for this full-time position
is $136,190.00 - $228,790.00 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, Seattle , Senior Machine Learning Engineer, Engineering , Seattle, Washington
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