Machine Learning Engineer
Company: Capital One
Location: Bowie
Posted on: May 5, 2022
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Job Description:
West Creek 6 (12076), United States of America, Richmond,
Virginia Machine Learning Engineer What you---ll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling,
and Data Engineering. In this role, you'll be expected to perform
many ML engineering activities, including one or more of the
following: Design, build, and/or deliver ML models and components
that solve real-world business problems, while working in
collaboration with the Product and Data Science teams. Inform your
ML infrastructure decisions using your understanding of ML modeling
techniques and issues, including choice of model, data, and feature
selection, model training, hyperparameter tuning, dimensionality,
bias/variance, and validation). 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 big data and ML applications. Retrain,
maintain, and monitor models in production. Leverage or build
cloud-based architectures, technologies, and/or platforms to
deliver optimized ML models at scale. Construct optimized data
pipelines to feed ML models. Leverage continuous integration and
continuous deployment best practices, including test automation and
monitoring, to ensure successful deployment of ML models and
application code. Ensure all code is well-managed to reduce
vulnerabilities, models are well-governed from a risk perspective,
and the ML follows best practices in Responsible and Explainable
AI. Use programming languages like Python, Scala, or Java. Basic
Qualifications: Bachelor---s degree. At least 3 years of experience
designing and building data-intensive solutions using distributed
computing (Internship experience does not apply) At least 4 years
of experience programming with Python, Scala, or Java At least 2
years of on-the-job experience with an industry recognized ML
frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At
least 1 year of experience productionizing, monitoring, and
maintaining models Preferred Qualifications: 1 years of experience
building, scaling, and optimizing ML systems 1 years of experience
with data gathering and preparation for ML models 2 years of
experience developing performant, resilient, and maintainable code
Experience developing and deploying ML solutions in a public cloud
such as AWS, Azure, or Google Cloud Platform Master's or doctoral
degree in computer science, electrical engineering, mathematics, or
a similar field 3 years of experience with distributed file systems
or multi-node database paradigms Contributed to open source ML
software Authored/co-authored a paper on a ML technique, model, or
proof of concept 3 years of experience building production-ready
data pipelines that feed ML models Experience designing,
implementing, and scaling complex data pipelines for ML models and
evaluating their performance 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, Bowie , Machine Learning Engineer, Engineering , Bowie, Maryland
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