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Remote Deep Learning Jobs in Ohio (NOW HIRING)

... GenAI and deep learning methods * Professional experience with AI/ML frameworks and tooling ... Remote Pay Transparency and Benefits * The stated salary range represents the entire span ...

AI Engineer

Cincinnati, OH · On-site +1

$101K - $159K/yr

... deep learning models. Ability to build and deploy MCP servers to provide LLMs with secure, standardized access to local and remote tools.. * Applicant should have experience in infrastructure ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

Xstore Developer (Remote)

Akron, OH · On-site +1

$74K - $125K/yr

Deep understanding of POS workflows & retail operations * Hands-on experience with payment ... Learning & Development programs * Much more! The salary range for this opportunity is $74,000 ...

Xstore Developer (Remote)

Akron, OH · On-site +1

$74K - $125K/yr

Deep understanding of POS workflows & retail operations * Hands-on experience with payment ... Learning & Development programs * Much more! The salary range for this opportunity is $74,000 ...

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Remote Deep Learning information

What is a Remote Deep Learning job?

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 are some 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 key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

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 the most commonly searched types of Deep Learning jobs in Ohio? The most popular types of 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:
Infographic showing various Remote Deep Learning job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
GEOINT SAR Analyst

GEOINT SAR Analyst

Etegent Technologies, LTD

Beavercreek, OH • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Posted 27 days ago


Job description

Description

GEOINT SAR Analyst


Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing Artificial Intelligence (AI) and Software solutions that address our customers' most significant challenges and opportunities.


Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun. 


The Position:


Etegent is seeking a Geospatial intelligence (GEOINT) Synthetic Aperture Radar (SAR) analyst to work in a team environment with Etegent researchers and partner analysts. This role is part of a long-term effort developing new deep learning capabilities to address critical needs in the intelligence community. 


The Candidate:


More so than seeking candidates with specific training and experience, Etegent seeks a special type of person; someone with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. They are flexible and adaptable, having the desire and ability to learn new skills and theory to take on challenges outside their current realm of experience.


An intelligence analyst with a strong foundation in GEOINT imagery exploitation and a genuine interest in creating and improving innovative, elegant capabilities to glean knowledge and understanding from large, diverse intelligence and imagery sources in the DoD, IC and commercial fields will be a great fit for this position. This person will naturally recognize the opportunities to enhance and optimize current software tools and work flows they use, and "think outside the box" to envision how they can be improved to help make analysts more effective, efficient and inspired by the work they accomplish.


Responsibilities:

  • Exploit SAR and intelligence sources to identify and annotate targets of interest in SAR imagery to more effectively train machine learning algorithms.
  • Exploit imagery and intelligence source to adjudicate target detection algorithm results within GEOINT imagery.
  • Research targets of interest including physical characteristics and equipment configurations, order of battle/pattern of life, target locations and available intelligence sources and imagery.
  • Coordinate with other analysts to gather feedback and suggest improvements to the workflow and software tools used.
  • Work with a team of analysts and engineers to improve the processes and software tools used to exploit, annotate and quality control annotations within GEOINT imagery.


Requirements

Required Qualifications:

  • 2 or more years of relevant, demonstrated experience in GEOINT imagery analysis with a specialization and expertise in SAR image analysis.
  • An active DoD Top Secret clearance with SCI eligibility is required. Candidates are required to have an active Top Secret clearance with SCI eligibility upon hire, and the ability to maintain this level of clearance during employment.

Preferred Qualifications:

  • Thorough understanding of SAR imagery exploitation tools and techniques.
  • Familiarity with DoD/IC Structured Observation Management (SOM) tools and methodologies.
  • Familiarity with GEOINT machine learning data curation and algorithm adjudication.
  • Familiarity with NASIC and other DoD/IC organizations.
  • Familiarity with DoD/IC intelligence sources and imagery search and retrieval tools.
  • Experience with other remote sensing data modalities such as spectral, EO, FMV, sonar, etc.
  • Experience with programming/analysis tools such as ENVI/IDL, MATLAB, Python or R.
  • A Bachelor of Science degree in image science, remote sensing, GIS, Geography, earth science, physical science, engineering, or similar engineering/science fields.

Attributes:

  • Strong team player able to thrive in a fast-moving, multidisciplinary environment.
  • Energized, passionate, and an effective communicator.

Working at Etegent:

At Etegent, you'll be part of a fast-growing organization that combines a small-company family feel with big-company resources and opportunities. We work hard, but we also want you to have fun. In addition to your competitive salary, medical/dental/vision plan and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. You also will enjoy work schedule flexibility.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage cabinet and enjoy a weekly lunch with your talented colleagues on Free Lunch Fridays.
  • Location: Our offices are centrally located in Cincinnati and Dayton, OH. Both offices are a short commute from multiple desirable suburban communities and vibrant urban living and entertainment districts.

Competitive compensation based on qualifications and experience of candidate. 


Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.