Engineering 4, Machine Learning-5913
Company: Comcast Corporation
Location: Philadelphia
Posted on: April 30, 2024
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Job Description:
Make your mark at Comcast -- a Fortune 30 global media and
technology company. From the connectivity and platforms we provide,
to the content and experiences we create, we reach hundreds of
millions of customers, viewers, and guests worldwide. Become part
of our award-winning technology team that turns big ideas into
cutting-edge products, platforms, and solutions that our customers
love. We create space to innovate, and we recognize, reward, and
invest in your ideas, while ensuring you can proudly bring your
authentic self to the workplace. Join us. You'll do the best work
of your career right here at Comcast. (In most cases, Comcast
prefers to have employees on-site collaborating unless the team has
been designated as virtual due to the nature of their work. If a
position is listed with both office locations and virtual
offerings, Comcast may be willing to consider candidates who live
greater than 100 miles from the office for the remote option.)Job
SummaryJob DescriptionDUTIES: - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - Provide technical leadership in designing and
developing new software and web applications using Python and Go;
train, build, and deploy machine learning models with TensorFlow
and NoSQL databases; automate software deployment, scaling, and
management using Kubernetes; work within the AWS cloud-based
platform; utilize Milvus vector database; identify complex problems
and develop and deploy novel prototypes and algorithms to solve
them; improve accuracy and functionality of algorithms and
understand the overall implications of the entire machine learning
frameworks; translate application requirements into problem
statements; analyze and evaluate solutions both internally
generated as well as third party supplied; guide the successful
completion of programs that identify patterns and make decisions
with minimal human intervention; determine the technical objectives
of an assignment; lead the design of prototypes, partnering with
the product team and other stakeholders through development;
conduct studies to support product or application development;
design and implement end-to-end solutions using optimization and
other advanced computer science technologies and own live
deployments; aggregate huge amounts of data and information from
large numbers of sources to discover patterns and features
necessary to automate analytical models; research, write and edit
documentation and technical requirements, including evaluation
plans, confluence pages, white papers, presentations, test results,
technical manuals, formal recommendations and reports; test and
evaluate solutions presented to the Company by various internal and
external partners and vendors; and guide and mentor junior-level
engineers. Position is eligible for 100% remote work.REQUIREMENTS:
- - - - - - - - - - - - Bachelor's degree or foreign equivalent, in
Computer Science, Engineering, or related technical field; five (5)
years of experience using Kubernetes and AWS to implement machine
learning and video analytics; migrating applications and databases;
developing Big Data and ETL solutions in Python; of which three (3)
years must include working with Hadoop clusters for root cause and
sentiment analysis; and of which two (2) years must include
developing data visualizations in Tableau.Disclaimer: This
information has been designed to indicate the general nature and
level of work performed by employees in this role. It is not
designed to contain or be interpreted as a comprehensive inventory
of all duties, responsibilities and qualifications.Comcast is proud
to be an equal opportunity workplace. We will consider all
qualified applicants for employment without regard to race, color,
religion, age, sex, sexual orientation, gender identity, national
origin, disability, veteran status, genetic information, or any
other basis protected by applicable law.
Keywords: Comcast Corporation, Clifton , Engineering 4, Machine Learning-5913, Engineering , Philadelphia, New Jersey
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