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Remote Aws Machine Learning Jobs in Springfield, OH

Booz Allen Hamilton, Inc.

DevOps Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

You'll apply your skills within an AWS DevOps framework to establish or provision virtual machines ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are popular job titles related to Remote Aws Machine Learning jobs in Springfield, OH? For Remote Aws Machine Learning jobs in Springfield, OH, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Springfield, OH look for? The top searched job categories for Remote Aws Machine Learning jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Aws Machine Learning jobs? Cities near Springfield, OH with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you
Infographic showing various Remote Aws Machine Learning job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

DevOps Engineer

Booz Allen Hamilton, Inc.

Beavercreek, OH • On-site, Remote

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 21 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0242669
Location:
Beavercreek,OH,US
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DevOps Engineer
The Opportunity:
As a DevOps engineer, you know how to set up cloud environments and provision computer networking, storage, and virtual networks-ultimately, how to "harness the cloud." We're looking for an experienced AWS DevOps infrastructure engineer like you to support our clients as they modernize their IT infrastructure and meet their most challenging missions.
As an AWS DevOps infrastructure engineer at Booz Allen, you'll work closely with cloud architects and engineers to manage server configuration for modern cloud solutions. You'll apply your skills within an AWS DevOps framework to establish or provision virtual machines (VMs) or networks and use cloud service providers to further your clients' meaningful missions.
With access to our internal innovative labs, there's no better place to further your skills and explore different ways of solving our clients' challenges. Whether helping to develop, deploy, or manage IT infrastructures for crucial servers and network components, here you'll have the latest tech and brightest teammates at your fingertips.
Join us. The world can't wait.
You Have:
  • 2+ years of experience with managing AWS cloud infrastructure, including Windows or Linux EC2 Instances
  • 2+ years of experience with Infrastructure as Code to provision and managing cloud resources
  • 2+ years of experience with Configuration as Code
  • 2+ years of experience designing, building, and maintaining CI/CD Pipelines
  • 2+ years of experience scripting or automation using Bash, Python, or PowerShell
  • Knowledge of container technologies, including Docker, Podman, and Kubernetes for deploying and operating applications
  • Ability to work with cloud networking, security best practices, and monitoring or logging in AWS environments
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with commercial tools, such as Jira, Confluence, Jira Service Management, Discourse, Overleaf, GitLab, GitLab Runners, Jenkins, Artifactory, SonarQube, Ansys products, Teamwork Cloud, MATLAB, Fortify, McAfee ePO, Splunk, or Nessus
  • Experience with containerization and container orchestration, including Docker, Kubernetes, or ECS, CI/CD tools and practices, including GitLab CI and Jenkins, and F5 BIG-IP application delivery and security platforms
  • Experience with Authority to Operate (ATO) processes and security documentation
  • Experience with serverless architecture, including API Gateway, and system design, including scalability and reliability
  • Experience creating and improving continuous automation across multiple technical stacks, and triaging and resolving issues related to both open-source and commercial tools in public cloud environments
  • Knowledge of container security, runtime protection, security best practices, compliance requirements, compliance automation, and continuous monitoring
  • Master's degree in a technical field
  • IAT Level II or IAT Level III Certification, such as Security+ or CISSP Certification
  • AWS Certification, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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