Booz Allen Hamilton INC Hiring for AWS And Python MLOps Engineer at Aurora, Colorado Full Time

Job Number: R0178882

AWS and Python MLOps Engineer
The Challenge:
Are you looking for an opportunity to make a difference and help build a
system that will have a positive impact in the intelligence community
(IC)? What if you could find a position that is tailor made for your mix
of development, engineering, and analytics? Efficient development teams
make the most of their time by limiting the activities that take developers
and data scientists away from writing their code. That’s why we need you,
an experienced machine learning engineer, to help us design and architect an
MLOps platform in the Cloud that shortens the time it takes to get new
capabilities from development to production, to support mission critical
operat

As an MLOps Cloud engineer on our team, you’ll use your development
experience to streamline our development life cycle from development to
production. You’ll be working with a small collaborative Agile development
team to build and maintain Cloud software and infrastructure that supports
machine learning across the enterprise. You’ll implement continuous
integration and deployment to development, testing, and production
environments. This is an opportunity to broaden your skill set into areas like
Agile development, Cloud-based development, containerization, and
serverless while developing software that will improve national security. As a
machine learning engineer, you’ll identify new opportunities to build
solutions and architecture to help your customers meet their toughest
challenges. Join our team as we build tools to transform the future of the IC.

Empower change with us.

You Have:

3+ years of experience with Python development

Experience with leveraging MLOps platforms and Machine Learning (ML)
CI/CD workflows to manage datasets and model training, deployment, and
monitori

TS/SCI clearance

HS diploma or GED

Ability to obtain a Security+ CE, SSCP, CCNA-Security, or GSEC
certification within 6 months of hire

Nice If You Have:

Experience with using ML tools, including SageMaker, Python,
TensorFlow, scikit-learn, PyTorch, Kubeflow, or MLflow

Experience with design and implementation, including building,
containerizing, and deploying end-to-end automated data and ML pipelines,
within a Cloud environment

Experience with version control tools, including Git

Experience leading a team of developers or converting requirements into
technical documentation

Experience with an Agile release methodology

Knowledge of the ML life cycle and concepts to develop an MLOps ecosystem

Bachelor’s degree preferred; Master’s degree a plus

Security+ CE, SSCP, CCNA-Security, or GSEC certification

AWS certification

ML certification

Clearance:
Applicants selected will be subject to a security investigation and may need
to meet eligibility requirements for access to classified information;
TS/SCI clearance is required.

Build Your Career:
A challenging and dynamic work environment isn’t all we have to offer. When
you join Booz Allen, you’ll have access to:

experts in virtually every field

a culture that focuses on supporting our employees

opportunities that provide stability while offering variety

You’ll also be exposed to a wealth of training resources through our Digital
University, an online learning portal featuring more than 5000 functional
and technical courses, certifications, and books. Build your technical
skills through hands-on training on the latest tools and tech from our
in-house experts. Pursuing certifications that directly impact your role?
You may be able to take advantage of our tuition assistance, on-site
bootcamps, certification training, academic programs, vendor
relationships, and a network of professionals who can give you helpful tips.
We’ll help you develop the career you want as you chart your own course for
suc

Compensation
At Booz Allen, we celebrate your contributions, rovide you with
opportunities and choices, and support your total well-being. Our offerings