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Executive Full Stack Machine Learning Engineer Jobs in Batavia, OH

Job Overview We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a ... Experience with Java and full-stack application development. * Experience building RAG, LLM, or ...

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Sr. Machince Learning Engineer Location: Cincinnati OH (Hybrid - 3 Days Onsite) Duration: 1+ Year Key Responsibilities · Design, develop, deploy, and maintain scalable machine learning and ...

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

We are seeking an experienced Machine Learning Engineer with a strong bias for action, an ownership mindset, and a passion for solving complex business problems through automation and AI. The ideal ...

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Growth We never stop growing, and we never stop learning. Want to explore AI? Develop new coding ... and support executives. * You understand and champion techniques for improving engineering ...

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Executive Full Stack Machine Learning Engineer information

See Batavia, OH salary details

$40.8K

$123.6K

$174.8K

How much do executive full stack machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for executive full stack machine learning engineer in Batavia, OH is $123,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $144,900.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Batavia, OH?

For Executive Full Stack Machine Learning Engineer jobs in Batavia, OH, the most frequently searched job titles are:

Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Batavia, OH as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,636 per year, or $59.4 per hour.

Machine Learning Engineer

Kforce Technology Staffing

Cincinnati, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Machine Learning Engineer in Cincinnati, OH.
Summary:
The Machine Learning Engineer is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.
The project this position will support is working to build a product for Sales Enablement which utilizes artificial intelligence - Generative AI and Machine Learning models to enhance user experience. This role will focus on the Machine Learning models, development, and model risk management in a team setting. They will be part of an existing on full stack and AI engineers.
Responsibilities:
* Understand business problems, comprehend data, systems and existing solutions, harvest data from data pipelines and propose models for Sales Enablement
* Build an ML model that can be delivered in production setting with available and existing data set
* Expected to build and test the model in the application setting and meet all client specific SDLC requirements
* Collaborate with Model Risk Management for evaluation and evidence gathering
* Understand AI principles and will implement them as controls or integrate required solutions
REQUIREMENTS:
* Must have experience in developing and deploying Generative AI embedded applications in a production setting within regulatory/financial environment
* Should have bias for action; Lead by example; An automation first and ownership mindset
* Must be able to articulate and guide team on implementing responsible AI principles in solution
* Should be able to guide and lead the team in Model risk evaluation, submit questionnaires and remediate risks identified.
* Should be able to lay down a clear framework for ML Ops and Governance cycle of AI applications
* Python, Java, Prior experience with Machine Learning models and MRM in a production setting
* Understand and have prior experience of Generative AI development, validation and evaluation techniques is a plus
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US