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Full Time Computer Vision Deep Learning Engineer Jobs in Springboro, OH

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

UAS Hardware Engineer

Dayton, OH · On-site

$115K - $151K/yr

Computer vision * Sensor fusion * Autonomous navigation * Swarm or multi-agent systems * Experience ... This is a Full-Time, Salary, Exempt position. Salary is subject to a variety of factors, including ...

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

Software Engineer, Senior

Dayton, OH · On-site

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

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Full Time Computer Vision Deep Learning Engineer information

See Springboro, OH salary details

$42.8K

$107.1K

$121.2K

How much do full time computer vision deep learning engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for full time computer vision deep learning engineer in Springboro, OH is $107,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $115,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What cities near Springboro, OH are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities near Springboro, OH with the most Full Time Computer Vision Deep Learning Engineer job openings:
AI/ML Engineer, Mid

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

AI/ML Engineer, Mid
The Opportunity:
As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build, and implement practical AI/ML capabilities that enhance mission systems and support faster, more informed decision-making across the national security ecosystem. You will contribute across the development lifecycle supporting data processing, model creation, MLOps workflows, and the integration of scalable AI solutions into operational environments while working closely with senior engineers and mission partners.
Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role definitions. You will partner closely with cross-functional engineering, mission SMEs, and product teams to deliver production-grade systems aligned with Booz Allen's AI modernization approaches.
What You'll Work On:
  • Develop and implement AI-engineered signal-processing and automation tools and capabilities for EO/IR applications.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in support of modernizing analysis workflows.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and processes.
  • Contribute to the architecture and implementation of novel approaches for rapidly fielding capabilities, including using streaming data sets and NRT feeds.

Join us. The world can't wait.
You Have:
  • 4+ years of experience developing AI/ML capabilities to operate in a microservice stack
  • Experience devising AI-agent planning, reasoning, and execution loops
  • Experience with Python-based ML frameworks such as PyTorch or TensorFlow
  • Experience demonstrating statically-sound model evaluation and AI quality metrics
  • Experience building, deploying, and operating production ML models using either supervised, unsupervised, or anomaly detection efforts
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with AWS and containerization of models in a classified environment
  • Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring, drift detection, and automated retraining
  • Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment
  • Master's degree in CS, AI, Data Science, or a related field

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.
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 $77,500.00 to $176,000.00 (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

Sourced by ZipRecruiter

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