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Artificial Intelligence Machine Learning Engineer Jobs in Ohio

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 years of experience in artificial intelligence, machine learning, or data science. * Experience in ...

Deloitte

Oracle AI Manager

Columbus, OH · On-site

... artificial intelligence/machine learning solution architecture 4+ years of experience with AI ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Deloitte

Oracle AI Manager

Cleveland, OH

... artificial intelligence/machine learning solution architecture 4+ years of experience with AI ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly ...

Deloitte

Oracle AI Manager

Cincinnati, OH

... artificial intelligence/machine learning solution architecture 4+ years of experience with AI ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

... intelligence with which we make our decisions. As a Machine Learning AI Engineer, you will play a ... key role in contributing to the designing, building, and operationalizing productiongrade AI ...

Bespoke Labs

Machine Learning Engineer

Toledo, OH · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Columbus, OH · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Cleveland, OH · On-site

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 ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Ohio

Artificial Intelligence Machine Learning Engineer information

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$29.9K

$122.4K

$184K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for artificial intelligence machine learning engineer in Ohio is $122,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $147,400.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Ohio? For Artificial Intelligence Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Ohio are:
What cities in Ohio are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Ohio with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Ohio as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,420 per year, or $58.9 per hour.
AI Architect

AI Architect

Vertiv Group Corp.

Westerville, OH • On-site

$60.75 - $80/hr

Full-time

Posted 19 days ago

Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

305th of 419 rated machine equipment manufacturers

Job description


Job Summary
As a Generative AI Architect, you will lead the architecture design and development of Generative AI solutions for multiple business domains and use cases across the enterprise. You will collaborate with cross-functional teams to comprehend business needs and turn them into scalable and effective Generative AI architectures and platforms. You will also lead the execution and delivery of Generative AI projects.
This position will be based onsite at Vertiv's Westerville, OH - HQ location.
Responsibilities:
  • Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.
  • Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.
  • Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Plam2, Meta Llama2 or Llama3.
  • Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
  • Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the required performance, precision, and scalability.
  • Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.
  • Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.
  • Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.
  • Conduct frequent code assessments and provide technical mentorship to less experienced team members.
  • Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.
  • Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments.
  • Document Generative AI design choices and technical specifications for reference and knowledge dissemination.

Requirements:
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field.
  • At least 7 years of experience in artificial intelligence, machine learning, or data science.
  • Experience in Generative AI architectures and frameworks such as retrieval augmented generation, vectorization and embeddings, and multi-agent Generative AI architecture solutions.
  • Experience working with multiple Large Language Models (e.g., Azure Open AI GPT 3.5/4.0, Meta Llama2 or Llama3, Google Palm2).
  • Experience in designing and developing artificial intelligence solutions for various domains, such as natural language processing (NLP), computer vision, speech recognition, deep learning, etc.
  • Experience in deploying and monitoring artificial intelligence solutions on cloud environments (AWS and/or Azure)
  • Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
  • Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
  • Strong knowledge of the latest advancements in Generative AI technologies, frameworks, and platforms.
  • Knowledge of ethical considerations and responsible Generative AI practices.
  • Experience in leading or managing artificial intelligence projects or teams.
  • Strong communication and presentation skills, with the ability to explain complex artificial intelligence concepts and insights to technical and non-technical audiences.
  • Preferred Requirements:
    • Master's degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or related field
    • Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras)
    • Certification or training in artificial intelligence, machine learning, or data science.
    • Experience in working with big data technologies, such as Hadoop, Spark, Kafka, etc.
    • Experience in working with web or mobile development technologies, such as HTML, CSS, JavaScript, React, Angular, etc.
    • Familiarity with agile or scrum methodologies and project management tools, such as Jira, Trello, etc.

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
• Customer Focus
• Operational Excellence
• High-Performance Culture
• Innovation
• Financial Strength
OUR BEHAVIORS
• Own It
• Act With Urgency
• Foster a Customer-First Mindset
• Think Big and Execute
• Lead by Example
• Drive Continuous Improvement
• Learn and Seek Out Development
About Vertiv
Vertiv is a $6.8 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.

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