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Remote Deep Learning Jobs in Ohio (NOW HIRING)

AssetWatch, Inc.

Customer Success Manager

Columbus, OH · Remote

$77K - $112K/yr

Develop a deep understanding of each customer's business objectives, maintenance strategy ... A passion for continuous learning, improvement, and delivering exceptional customer experiences.

Iff

Technical Service Account Manager

Bellevue, OH · On-site +1

This role is based in United State and is a remote position. You will be part of a collaborative ... Learning and development programs from day one * Our benefit package includes medical, dental ...

Iff

Technical Service Account Manager

West Chester, OH · On-site +1

This role is based in United State and is a remote position. You will be part of a collaborative ... Learning and development programs from day one * Our benefit package includes medical, dental ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246717 Location: Dayton,OH,US Share job via: Share Data Scientist The ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

Booz Allen Hamilton, Inc.

Data Scientist

Dayton, OH · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246716 Location: Dayton,OH,US Share job via: Share Data Scientist The ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Deep experience building production applications with LLM frameworks such as LangChain, LangGraph ... Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and ...

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Ohio

Remote Deep Learning information

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are the most commonly searched types of Deep Learning jobs in Ohio?

The most popular types of Deep Learning jobs in Ohio are:

What are popular job titles related to Remote Deep Learning jobs in Ohio?

For Remote Deep Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning jobs in Ohio look for?

The top searched job categories for Remote Deep Learning jobs in Ohio are:

What cities in Ohio are hiring for Remote Deep Learning jobs?

Cities in Ohio with the most Remote Deep Learning job openings:

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

IS Technical Specialist/Back-end Tech Lead

Huntington

Cincinnati, OH • On-site, Remote

$70K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Description

Summary:

  • Our team directly support analytics activation for the bank. Applications we support continue to significantly contribute to bank's top line. We use cloud native application practices and modern data approaches to deliver performant software used by all channels.
  • We are looking for a strong back-end developer with cloud engineering background or certifications and a keen interest to learn new technologies/AI to join our team.

Basic Qualifications:

  • Bachelor's Degree.
  • 7+ years of development experience using Java, building API enabled apps and event driven architecture.
  • Ability to write SQL queries and stored procedures, knowledge of using databases including Oracle, Snowflake.
  • 2+ years of production support, infrastructure engineering or administration experience.
  • Experience with or good working knowledge of DevSecOps; Kubernetes or other container-based technologies including deployment pipelines.
  • Learning mindset with openness to learn new technologies, build things and experiment.
  • Certifications like cloud architect/engineer/developer are strongly preferred.
  • Experience working on product teams, awareness of agile practices.

Duties and Responsibilities:

  • Analyzes, designs, and develops systems based upon user specifications. 
  • Provides technical assistance in solving hardware or software problems. 
  • Possesses an in-depth knowledge of and works with the technical tools available for systems development and support.
  • Maintains and demonstrates knowledge of technical industry trends, particularly as they apply to Huntington. 
  • May assist with identifying training needs or with training of less experienced staff. 
  • May serve as project leader for specific projects.
  • Performs other duties as assigned.

Basic Qualifications:

  • Bachelor's Degree.
  • 5+ years of development experience using Java, building API enabled apps and event driven architecture.
  • Ability to write SQL queries and stored procedures, knowledge of using databases including Oracle, Snowflake.
  • 2+ years of production support, infrastructure engineering or administration experience.
  • Experience with or good working knowledge of DevSecOps; Kubernetes or other container-based technologies including deployment pipelines.
  • Learning mindset with openness to learn new technologies, build things and experiment.
  • Experience working on product teams, awareness of agile practices.

Preferred Qualifications:

  • Experience with marketing applications or integration background.
  • Previous Architecture or tech lead experience.
  • Deep knowledge of micro services patterns, Spring framework including spring boot, batch.
  • Ability to balance both development and support roles.
  • Strong analytical, strong troubleshooting skills and excellent communication skills
  • Strong interpersonal skills, focus on customer service, and the ability to work well with other IT, vendor, and business groups.
  • Certifications like cloud architect/engineer/developer are strongly preferred.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

70,000.00 - 140,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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