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Machine Learning Engineer Opt Jobs in Ohio (NOW HIRING)

Flaschenpost

$100 - $125/hr

## Machine Learning Engineer (m/w/d) - MLOps & Software EngineeringBewerbenremote type: ITlocations: Office Münster: Office Köln: Remote: Office Berlintime type: Vollzeitposted on: Vor 2 Tagen ...

Crowe LLP

Machine Learning Engineer

Columbus, OH

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Crowe LLP

Machine Learning Engineer

Cleveland, OH

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

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Machine Learning Engineer Opt information

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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Cities in Ohio with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Ohio as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer (Intern - Summer 2027)

Fairborn, OH • On-site

SRC, Inc
See more jobs at SRC, Incexternal

Full-time, Temporary, Internship

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about machine learning (ML) and want to do something meaningful? Do you want your work to make a real difference and save lives? Our products protect our soldiers, our nation, and our allies. We solve the kinds of problems search engines don’t have answers for.  Selected candidates will have the opportunity to work in small teams designing and developing solutions using deep learning and statistical methods on a variety of challenging problems. Because of the diverse nature of our work, we can accommodate team members with varying technical backgrounds.
 
What You'll Do 
  • Develop and apply ML models to run on both cloud hosts and edge platforms.
  • Assist with algorithm and model development and integration into hardware and software components
  • Assist with the collection, generation, and augmentation of data sets
  • Work with domain subject matter experts to identify algorithm and model requirements 
What You'll Bring 
  • One or more years of college with some familiarity with ML, deep reinforcement learning (DRL), or large language models (LLMs)
  • A minimum grade point average of 3.3, Most recent transcripts are required with application (unofficial transcripts are acceptable)
  • Must be able to work up to 40 hours a week
  • Strong interpersonal and communication skills
Ways to Stand Out
  • Experience using machine learning frameworks such as Tensorflow or Pytorch
  • Experience with prompt engineering or retrieval augmented generation (RAG) to optimize performance of LLMs
  • Experience with Python or MATLAB
What Sets Us Apart?
SRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve “impossible” problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible®. When you join our team, you’ll be a part of something truly meaningful — helping to keep America and its allies safe and strong. You’ll collaborate with more than 1,400 engineers, scientists and professionals — with 20 percent of those employees having served in the military — in a highly innovative, inclusive and equitable work environment. You’ll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.
 
Total compensation for this role is market competitive. The anticipated range for this position based out of Syracuse, NY or Dayton, OH is estimated at $22.00 to $26.00/hour. The actual salary will vary based on applicant’s experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.