Senior Machine Learning Engineer
Company: Capital One
Location: Powderly
Posted on: June 21, 2022
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Job Description:
Job Description Senior Machine Learning Engineer As a Capital
One Machine Learning Engineer, you'll be part of an Agile team
dedicated to productionizing machine learning applications and
systems at scale. You'll participate in the detailed technical
design, development, and implementation of machine learning
applications using existing and emerging technology platforms.
Working within an Agile environment, you---ll serve as a technical
lead, helping guide machine learning architectural design
decisions, developing and reviewing model and application code, and
ensuring high availability and performance of our machine learning
applications. You'll have the opportunity to continuously learn and
apply the latest innovations and best practices in machine learning
engineering. You---ll also mentor other engineers and develop your
technical knowledge and skills to keep Capital One at the cutting
edge of technology. What you---ll do in the role : Deliver ML
software models and components that solve real-world business
problems, while working in collaboration with the Product and Data
Science teams Solve complex problems by writing and testing
application code, developing and validating ML models, and
automating tests and deployment Collaborate as part of a
cross-functional Agile team to create and enhance software that
enables state-of-the-art, next generation big data and machine
learning applications Leverage cloud-based architectures and
technologies to deliver optimized ML models at scale Construct
optimized data pipelines to feed ML models Use programming
languages like Python, Scala, or Java Leverage continuous
integration and continuous deployment best practices, including
test automation and monitoring, to ensure successful deployment of
ML models and application code Advocate for software and machine
learning engineering best practices Function as a technical lead
and mentor junior engineering talent Basic Qualifications :
Bachelor---s degree At least 2 years of experience designing and
building data-intensive solutions using distributed computing At
least 2 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing
Machine Learning systems At least 1 year of experience developing
and deploying Machine Learning solutions in a public cloud
environment (AWS, Azure, or Google Cloud) Preferred Qualifications
: Master's degree 4 years of experience building production-ready
data pipelines that feed Machine Learning models 4 years of
experience with an Machine Learning frameworks (scikit-learn,
PyTorch, Dask, Spark, or TensorFlow) 4 years of experience with
data gathering and preparation for Machine Learning models 2 years
of experience with PySpark, Angular and Kubernetes 2 years of
experience developing and deploying Machine Learning solutions in a
public cloud environment (AWS, Azure, or Google Cloud) 2 years of
experience designing, implementing, and scaling complex data
pipelines for Machine Learning models and evaluating their
performance AWS Certification At this time, Capital One will not
sponsor a new applicant for employment authorization for this
position. No agencies please. Capital One is an Equal Opportunity
Employer committed to diversity and inclusion in the workplace. All
qualified applicants will receive consideration for employment
without regard to sex, race, color, age, national origin, religion,
physical and mental disability, genetic information, marital
status, sexual orientation, gender identity/assignment,
citizenship, pregnancy or maternity, protected veteran status, or
any other status prohibited by applicable national, federal, state
or local law. Capital One promotes a drug-free workplace. Capital
One will consider for employment qualified applicants with a
criminal history in a manner consistent with the requirements of
applicable laws regarding criminal background inquiries, including,
to the extent applicable, Article 23-A of the New York Correction
Law; San Francisco, California Police Code Article 49, Sections
4901-4920; New York City---s Fair Chance Act; Philadelphia---s Fair
Criminal Records Screening Act; and other applicable federal,
state, and local laws and regulations regarding criminal background
inquiries. If you have visited our website in search of information
on employment opportunities or to apply for a position, and you
require an accommodation, please contact Capital One Recruiting at
1-800-304-9102 or via email at
RecruitingAccommodationcapitalone.com. All information you provide
will be kept confidential and will be used only to the extent
required to provide needed reasonable accommodations. For technical
support or questions about Capital One's recruiting process, please
send an email to Careerscapitalone.com Capital One does not
provide, endorse nor guarantee and is not liable for third-party
products, services, educational tools or other information
available through this site. Capital One Financial is made up of
several different entities. Please note that any position posted in
Canada is for Capital One Canada, any position posted in the United
Kingdom is for Capital One Europe and any position posted in the
Philippines is for Capital One Philippines Service Corp.
(COPSSC).
Keywords: Capital One, Allen , Senior Machine Learning Engineer, Engineering , Powderly, Texas
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