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Executive Full Stack Machine Learning Engineer Jobs in Ohio

Judge Group, Inc.

Full Stack Developer

Columbus, OH

$60 - $70/hr

... Engineer Overview As a Software Engineer, you will design, develop, test, deploy, maintain, and ... machine learning. Additional Information * This role requires strong problem-solving skills ...

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

CapTech Consulting

Full-Stack Engineer

Columbus, OH · On-site

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Ohio

Executive Full Stack Machine Learning Engineer information

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 the most commonly searched types of Full Stack Machine Learning Engineer jobs in Ohio? The most popular types of Full Stack Machine Learning Engineer jobs in Ohio are:
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Executive Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Radiance Technologies

Beavercreek, OH

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest. Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed. Required Experience: * A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
* Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
* Strong programming skills in at least one of the following languages Python, Matlab, C++
* Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
* Active Secret Clearance with ability to obtain and maintain a TS/SCI Desired Skills: * ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
* PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
* A mathematical background (Probability and Statistics)
* An experienced grasp of version control using Git for nonlinear workflows
* Thorough understanding of working in research, development and production environments
* Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
* R&D on remotely sensed data to include modeling and development of algorithms.
* Ability to work independently or in a team environment
* Strong technical writing and oral communication skills
* Active Top Secret/SCI clearance Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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