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Python Ai Ml Jobs in Ohio (NOW HIRING)

Experience with enterprise-scale cloud AI/ML platforms (Azure services, Langchain/LangGraph, Python etc.) at production scale * Succession planning, performance calibration, handling significant ...

Build AI-powered applications using Python and other modern programming technologies. * Design and maintain ML/AI pipelines and MLOps processes across the model lifecycle. * Work with development and ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... Python code for data preprocessing, model training, and deployment. • Work with large datasets ... AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... Python code for data preprocessing, model training, and deployment. • Work with large datasets ... AI/ML solutions into applications and workflows. • Conduct experiments, evaluate model ...

You'll help bridge the gap between development and operations - ensuring that AI/ML and analytic ... Familiarity with Python scripting and automation. What Would Be Nice to Have: * Experience with DoD ...

... with Python and common AI/ML frameworks and libraries. o Experience working with large datasets and data pipelines. o Strong understanding of AI model development, evaluation, deployment, and ...

Senior AI Machine Learning Engineer

Columbus, OH · On-site

$118K - $156K/yr

Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing, and production-grade code delivery. Experience deploying and operating data, AI, or ML workloads in ...

AI Architect

Cincinnati, OH · On-site

$60.50 - $79.50/hr

... AI or ML solutions on Azure* Experience with REST APIs, serverless functions, microservices and event-driven architectures* Backend development in Python with working knowledge of C# or Node.js.

Showing results 41-60

Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What job categories do people searching Python Ai Ml jobs in Ohio look for?

The top searched job categories for Python Ai Ml jobs in Ohio are:

Infographic showing various Python Ai Ml job openings in Ohio as of August 2026, with employment types broken down into 2% Internship, 93% Full Time, 3% Part Time, and 2% Contract. Highlights an 76% In-person, 3% Hybrid, and 21% Remote job distribution.

AI/ML Engineer, Senior with Security Clearance

Booz Allen Hamilton

Dayton, OH • On-site

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 16 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

11th of 72 rated business consultants


Job description

Job Number: R0242678 AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build, and deploy advanced AI/ML solutions that modernize mission systems and accelerate decision-making across the national security ecosystem. You will contribute end-to-end, spanning data processing, model development, MLOps, and integration of scalable AI capabilities into operational environments. Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern sof tware 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: * Design, develop, and implement AI / ML models, including NLP, LLM-based pipelines, deep learning architectures, and computer vision models, aligned to mission requirements.
* Build and optimize scalable data pipelines to support training, evaluation, and continuous improvement of models.
* Develop end-to-end production systems, including microservices, APIs, automation frameworks, and cloud-native or edge-deployed AI services.
* Integrate AI / ML capabilities into operational environments with attention to security, reliability, observability, and performance.
* Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.
* Apply modern sof tware engineering patterns, including Python, Java, Scala, and Rus t, microservices, and distributed systems, as consistent with Booz Allen's AI / ML engineering frameworks.
* Collaborate with multi-disciplinary teams to identify mission needs, gather requirements, and define technical approaches.
* Prepare technical documentation, contribute to design reviews, and support customer-driven requirements. Join us. The world can't wait. You Have: * 5+ years of experience developing ML models such as NLP or LLM, CV, deep learning, generative AI, or reinforcement learning
* 5+ years of experience developing AI / ML capabilities to operate in a microservice stack
* Experience developing or maintaining production-grade APIs, microservices, or distributed systems
* Experience with data processing frameworks and scientific computing libraries such as NumPy, Pandas, PyTorch, TensorFlow, or scikit-learn
* Experience designing, configuring, or deploying sof tware systems in operational environments
* Experience with CI / CD tooling, source control such as GitLab, and containerization technologies such as Docker, Podman, or Kubernetes
* 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 LLM orchestration, RAG pipelines, grounding, or hallucination-mitigation workflows
* Experience with MLOps platforms, distributed training, or hybrid cloud environments such as AWS, Azure, and GCP
* Experience with automated testing tools and model evaluation frameworks
* Master's degree in CS, AI Engineering, ML Engineering, Data Science, or a STEM field
* AI / ML, Cloud, or Solution Architecture Industry Certification s 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 $99,000.00 to $225,000.00 (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