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Machine Learning Jobs in Springboro, OH (NOW HIRING)

Tata Consultancy Services

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence or Machine Learning * Proven expertise in the latest ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Stay updated on the latest trends and advancements in AI and machine learning. Qualifications: * Master's degree in Artificial Intelligence or Machine Learning * Proven expertise in the latest ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets. * Create clear software architecture ...

Resonetics

AI Automation Engineering Co-Op

Dayton, OH

$22 - $24/hr

This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges. Join Resonetics and be part of a team that's redefining medical device ...

Resonetics

AI Automation Engineering Co-Op

Dayton, OH

$22 - $24/hr

This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges. Join Resonetics and be part of a team that's redefining medical device ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Springboro, OH

Machine Learning information

See Springboro, OH salary details

$22.5K

$37.5K

$77.6K

How much do machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning in Springboro, OH is $37,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,700.00 and $40,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are popular job titles related to Machine Learning jobs in Springboro, OH?

For Machine Learning jobs in Springboro, OH, the most frequently searched job titles are:

What cities near Springboro, OH are hiring for Machine Learning jobs?

Cities near Springboro, OH with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Springboro, OH as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,547 per year, or $18.1 per hour.

Senior AI Engineer/Data Scientist

SUMARIA SYSTEMS LLC

Fairborn, OH • On-site

Full-time

Posted 19 days ago

Key responsibilities

  • Apply data science, artificial intelligence (AI), and machine learning (ML) techniques to complex intelligence and mission problems.

  • Develop, evaluate, and implement AI/ML models and analytical approaches supporting NASIC mission requirements.

  • Analyze large, complex, and diverse datasets to identify patterns, relationships, trends, and actionable insights.

Job description

Senior AI Engineer / Data Scientist

Job Description

Sumaria Systems is seeking a Senior AI Engineer / Data Scientist to provide advanced data science, artificial intelligence, and machine learning support to the National Air and Space Intelligence Center (NASIC) at Wright-Patterson AFB, OH. This is a full-time position supporting the ASTRA program.

Responsibilities

  • Apply data science, artificial intelligence (AI), and machine learning (ML) techniques to complex intelligence and mission problems.
  • Develop, evaluate, and implement AI/ML models and analytical approaches supporting NASIC mission requirements.
  • Analyze large, complex, and diverse datasets to identify patterns, relationships, trends, and actionable insights.
  • Assess Government mission requirements and recommend appropriate data science, AI/ML, and analytical approaches.
  • Support development and evaluation of algorithms, models, prototypes, and analytical capabilities.
  • Prepare, transform, integrate, and analyze structured and unstructured data from multiple sources.
  • Evaluate model performance, accuracy, reliability, limitations, and operational applicability.
  • Support integration of data science and AI/ML capabilities into existing and emerging mission workflows.
  • Investigate emerging AI/ML technologies and assess their applicability to NASIC mission requirements.
  • Collaborate with Government analysts, engineers, scientists, data architects, and mission stakeholders to transition analytical concepts into usable capabilities.
  • Develop technical assessments, recommendations, and recurring status products supporting Government data science and analytics initiatives.
  • Communicate analytical findings and technical recommendations to both technical and non-technical stakeholders.

Qualifications

Master's or bachelor's Degree required

Demonstrated professional experience in data science, artificial intelligence, machine learning, advanced analytics, or a related technical discipline.

Experience developing and evaluating AI/ML models, algorithms, or advanced analytical methods. Experience working with large and complex datasets and applying statistical, computational, or machine learning techniques to solve technical or mission problems.

Demonstrated proficiency with Python and commonly used data science and machine learning tools, libraries, or frameworks.

Experience supporting the development, testing, validation, or operational implementation of analytical models or AI/ML capabilities.

Experience supporting NASIC, the Intelligence Community, Department of the Air Force, DoD, or other national security missions is desired.

Experience with one or more of the following is desired: predictive analytics, natural language processing, computer vision, deep learning, generative AI, anomaly detection, pattern recognition, or intelligence data exploitation.

Experience working with cloud-based data or AI/ML environments, large-scale data architectures, or high-performance computing environments is desired.

Familiarity with AI/ML model governance, validation, explainability, responsible AI, and human-in-the-loop implementation is desired.

Must possess strong written and verbal communication skills and be able to communicate complex analytical concepts and findings to Government stakeholders and technical teams.

For more information on Sumaria Systems, please visit our website at www.sumariasystems.com

Sumaria is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor.

Sumaria Systems, LLC (Sumaria) is a market leader in Professional Services, Engineering, and Information Technology has been a trusted partner to U. S. Department of Defense communities for more than 30 years. Sumaria Systems only provides engineering services to the federal government, and does not provide professional engineering or surveying services to the public within the meaning of Ohio Revised Code Section 4733.16. With expertise to lead, insight to deliver and commitment to succeed; we staff each mission with a carefully selected team of seasoned professionals. Headquartered in Dayton, Ohio with operating locations in Alabama, Colorado, Georgia, Illinois, Ohio, Oklahoma and Virginia.