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Remote Embedded Machine Learning Jobs in Ohio (NOW HIRING)

Hudson Manpower

Platform Engineer III

Cincinnati, OH · On-site

Remote USA TOP SKILLS: comprehensive vulnerability management Java Platform Engineering What You'll ... machine-learning and data-warehousing platforms. • Define and implement various strategies ...

Commercial Alliance

Product Owner

Loveland, OH · On-site +1

Experience with artificial intelligence (AI) and machine learning (ML), including exposure to AI ... Flexible work schedule and remote work options (if applicable). If you are a strategic thinker with ...

Cella

AI Project Manager (remote)

Columbus, OH · On-site +1

In this role, you will blend traditional project management expertise with a strong understanding of AI and Machine Learning (AI/ML) technologies, serving as a critical bridge between highly ...

New

Paychex

AI Engineer

Cincinnati, OH · On-site +1

$101K - $159K/yr

... machine learning and 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 ...

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Remote Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Ohio? For Remote Embedded Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Ohio look for? The top searched job categories for Remote Embedded Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Remote Embedded Machine Learning jobs? Cities in Ohio with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Senior Image Scientist / Imagery Analyst IV

Senior Image Scientist / Imagery Analyst IV

Cornerstone Signals & Cyber Technologies LLC

Dayton, OH • Remote

$210K/yr

Full-time

Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Paid time off
  • Vision insurance

Senior Image Scientist / Imagery Analyst IV
Location: Wright-Patterson AFB, OH
Clearance Requirement: Active TS/SCI Required; SAP Eligibility Preferred
Employment Type: Full-Time
Customer: National Space Intelligence Center (NSIC)
Position Overview
Cornerstone is seeking a Senior Image Scientist / Imagery Analyst IV to support the National Space Intelligence Center (NSIC), 4th Intelligence Analysis Squadron (4 IAS), Non-Earth Imagery (NEI) Flight. Personnel supporting this effort will provide advanced image science, electro-optical (EO) data exploitation, image enhancement, remote sensing, and scientific analysis supporting highly classified space intelligence missions.
The selected candidate will leverage expertise in image processing, sensor phenomenology, computational imaging, algorithm development, and scientific programming to improve imagery exploitation capabilities supporting national security objectives. Personnel will work alongside Government scientists, intelligence analysts, engineers, and mission partners to address emerging foreign space and counterspace intelligence requirements.
Responsibilities
  • Perform advanced image science and imagery exploitation activities supporting Non-Earth Imagery (NEI) mission requirements.
  • Conduct electro-optical (EO) image analysis and scientific assessment of sensor-derived data.
  • Research, develop, test, and validate image enhancement techniques, algorithms, and processing methodologies.
  • Apply image processing, computational imaging, and remote sensing techniques to improve image quality and analytic effectiveness.
  • Develop, maintain, and enhance software tools, scripts, and procedures supporting image exploitation workflows.
  • Analyze sensor performance, image quality, and phenomenology characteristics to support intelligence production.
  • Support testing, validation, and transition of image processing techniques into operational environments.
  • Develop technical reports, algorithm documentation, user guides, and scientific assessments.
  • Collaborate with Government personnel and mission partners to address emerging intelligence requirements and technical challenges.
  • Provide technical recommendations regarding image processing approaches, exploitation methodologies, and analytic improvements.
Required qualifications
  • Active TS/SCI clearance.
  • Master's Degree in Image Science, Electrical Engineering, Physics, Computer Science, Remote Sensing, Applied Mathematics, or related scientific or engineering discipline.
  • Minimum 10 years of experience supporting image science, image processing, remote sensing, computational imaging, scientific analysis, or related technical disciplines.
  • Experience with electro-optical (EO) imagery exploitation and sensor data analysis.
  • Experience developing, testing, or evaluating image processing algorithms and enhancement techniques.
  • Experience supporting classified intelligence, scientific, research, or engineering environments.
  • Strong technical writing and documentation skills.
Desired qualifications
  • Experience supporting NASIC, NSIC, NGA, NRO, AFRL, or other Intelligence Community organizations.
  • Experience with MATLAB, Python, C++, or other scientific programming languages.
  • Knowledge of sensor phenomenology and electro-optical imaging systems.
  • Experience with TIFF, NITF, HDF5, or similar imagery formats.
  • Experience supporting space intelligence, foreign space systems analysis, or counterspace mission areas.
  • Experience applying machine learning or artificial intelligence techniques to imagery exploitation challenges.
  • Familiarity with Special Access Program (SAP) environments.
Salary
$200,000
The salary listed represents the anticipated starting salary range for qualified candidates. Higher compensation may be offered based on directly relevant experience, mission expertise, technical qualifications, certifications, education, and clearance level.