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Executive Full Stack Machine Learning Engineer Jobs in Batavia, OH

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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

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

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 ...

Description We are looking for an experienced, creative Senior Full Stack Developer with experience in numerous languages to help us architect and build the next-gen payment platform. Must be ...

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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 Aug 11, 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

Apex Informatics

Cincinnati, OH • On-site

Full-time

Re-posted 29 days ago


Job description

Below is my newest requirement. Please send Full Legal Name, LinkedIn, Location, Contact Details, C2C rate, and work authorization status with each submittal.
Client: Kroger
Location: Hybrid onsite in Cincinnati OH (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: Open (market rate)
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.