Senior Machine Learning Engineer
Company: Verizon
Location: Ashburn
Posted on: July 4, 2025
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Job Description:
When you join Verizon You want more out of a career. A place to
share your ideas freely — even if they’re daring or different.
Where the true you can learn, grow, and thrive. At Verizon, we
power and empower how people live, work and play by connecting them
to what brings them joy. We do what we love — driving innovation,
creativity, and impact in the world. Our V Team is a community of
people who anticipate, lead, and believe that listening is where
learning begins. In crisis and in celebration, we come together —
lifting our communities and building trust in how we show up,
everywhere & always. Want in? Join the VTeamLife. What you’ll be
doing We are looking for an experienced, talented and motivated
Senior AI/ML Engineer to lead AI Industrialization for Verizon. You
will provide technology leadership and drive technology discussions
along with Enterprise Architecture, Data Science, and Data
Engineering teams. You will also serve as a subject matter expert
regarding the latest industry knowledge to improve the
organization's systems and/or processes related to Machine
Learning, Deep Learning, Responsible AI, Gen AI, Natural Language
Processing, Computer Vision and other AI practices. You will lead
the charter to Industrialize AI/ML model development, feature
engineering, Model validation, deployment, and model observability
in both real-time and batch setup. Leading the study and
transformation of data science prototypes Researching, designing,
and implementing appropriate ML algorithms and tools Leading the
consolidation and implementation of new concepts and processes in
areas including information retrieval, distributed computing,
large-scale system design, networking, data storage, security,
artificial intelligence, natural language processing, UI design,
and mobile. Serving as a subject matter expert regarding the latest
industry knowledge to improve the organization's systems and/or
processes related to Machine Learning, Deep Learning, Responsible
AI, Gen AI, Natural Language Processing, Computer Vision and other
AI practices. Setting the standards for datasets and data
representation methods. Extending existing ML libraries and
frameworks. Determining processes and standards for running machine
learning tests and experiments. Designing, developing, testing,
deploying, maintaining, and improving machine learning system
software. Setting the strategy for ML/AI tools and processes,
determining the future needs of the business. Partnering with
stakeholders across various business units, Enterprise Architects,
Governance, Legal Council, and Security to define an overall plan
for the Registry, model governance and model inventory tracking.
What we’re looking for You will be part of an industry-wide
community, staying on top of the latest and greatest technologies
to ensure an outside perspective is brought into Verizon. We're
looking for someone who will define best practices in architecture
to operate at an enterprise scale. Additionally, you will work with
leadership and help align on strategies by defining a blueprint for
ML Ops and coming up with high-level design to implement solutions.
You will need to have: Bachelor's degree or four or more years of
work experience. Four or more years of relevant work experience.
Strong experience in Spark/Hive/SQL, including hands-on experience
building and deploying large volume data pipelines Proficiency in
Python, Scala, SQL PySpark, Kafka, use of scheduling tools, Devops
using Jenkins Experience cloud computing platforms (e.g., AWS,
Azure, GCP) and their AI/ML services Hands-on experience with Model
Deployment, ML Engineering techniques, MLOps and tools, including
ML Models measurement techniques, real-time and batch AI processors
Hands-on experience with modeling platforms Even better if you have
one or more of the following: A degree in Computer Science,
Engineering or related field Hands-on experience with modeling
platforms and tools such as and tools like Domino, Jupyter, H2O.ai
, DataRobot, Conda, ML Flow Advanced skills in programming in
Python, Java, and Git using Open Source tools like Spark, Flink and
Jupyter Notebook Knowledge of Development Lifecycle Management,
DevOps Automation methods and practices, Post-Production Model
Monitoring and End-to-End Architecture Ability to run workloads
over multiple nodes Knowledge of data administration practices and
approaches for data collection and ingest using Open Source tools
such as Logstash and Kafka in a Hadoop ecosystem Advanced knowledge
of data science concepts and applied knowledge of practices and
methods If Verizon and this role sound like a fit for you, we
encourage you to apply even if you don’t meet every “even better”
qualification listed above. Where you’ll be working In this hybrid
role, you'll have a defined work location that includes work from
home and a minimum eight assigned office days per month that will
be set by your manager. Scheduled Weekly Hours 40 Equal Employment
Opportunity Verizon is an equal opportunity employer. We evaluate
qualified applicants without regard to veteran status, disability
or other legally protected characteristics.
Keywords: Verizon, Sterling , Senior Machine Learning Engineer, IT / Software / Systems , Ashburn, Virginia
