2

Remote Embedded Machine Learning Jobs in Ohio (NOW HIRING)

Although the position will be remote, there might be some occasional travel to ERP Suites ... Core Competencies: • Product strategy and roadmap development • AI, machine learning ...

$99K - $130K/yr

... machine learning models to deliver high quality solutions to our partners. Rosenxt USA seeks to add ... Columbus This position is fully remote within the US East Coast, with preference for candidates ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

New

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ...

next page

Showing results 1-20

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 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:
AI & Mobile Product Manager

AI & Mobile Product Manager

ERP Suites

Loveland, OH • On-site, Remote

Full-time

Posted 24 days ago


Job description

ERP Suites is dedicated to delivering innovative technology solutions that help organizations streamline operations, improve productivity, and accelerate growth. We are seeking an AI & Mobile Product Manager to lead the strategy, development, and delivery of next-generation AI-powered and mobile solutions that create measurable business value for our customers.
Location:
Our home office is based in Cincinnati, OH. However, we are open to hiring someone who is fully remote regardless of location. Although the position will be remote, there might be some occasional travel to ERP Suites facilities or customer sites.
Position Summary:
The AI & Mobile Product Manager will own the product lifecycle from concept through adoption, driving the development of AI and mobile solutions that solve meaningful business challenges. This role serves as the bridge between customers, business stakeholders, engineering teams, data scientists, and leadership to ensure products are valuable, scalable, secure, and aligned with business objectives.
The ideal candidate combines strong product management expertise with a practical understanding of artificial intelligence, including generative AI, machine learning, AI agents, automation, model governance, and responsible AI practices.
Daily Activities:
• Collaborate with engineering, data science, and design teams to review progress and resolve blockers.
• Refine requirements, user stories, and product priorities.
• Review customer feedback, support issues, usage analytics, and product performance metrics.
• Participate in Agile ceremonies including sprint planning, backlog grooming, standups, and demos.
• Review workflows, wireframes, prompts, model behavior, and AI-generated recommendations.
• Support sales, marketing, and customer success teams with product knowledge and enablement.
Key Responsibilities:
Product Strategy & Roadmap:
• Define and execute the AI product vision, strategy, and roadmap.
• Identify and prioritize AI and mobile use cases based on customer value, business impact, feasibility, and risk.
• Develop business cases and product strategies that align with organizational goals.
• Conduct market research, competitive analysis, and customer discovery to identify opportunities.
Product Development & Delivery:
• Translate business requirements into detailed product requirements, user stories, and acceptance criteria.
• Partner with engineering, architecture, UX, and data science teams to design scalable solutions.
• Manage product backlogs, sprint planning, prioritization, and release planning.
• Ensure successful delivery through Agile product development methodologies.
• Oversee product releases, documentation, training, and readiness activities.
Customer Experience & Adoption:
• Collaborate with UX teams to create intuitive, AI-enabled user experiences.
• Gather and analyze customer feedback to continuously improve products.
• Define success metrics, KPIs, adoption goals, and ROI measurements.
• Monitor product performance, user adoption, customer satisfaction, and AI model effectiveness.
Governance & Risk Management:
• Ensure AI products are secure, explainable, compliant, and aligned with responsible AI principles.
• Collaborate with security, legal, and compliance teams to manage AI-related risks.
• Evaluate AI outputs for accuracy, usability, trustworthiness, and business relevance.
Cross-Functional Leadership:
• Partner with stakeholders across product, engineering, sales, marketing, customer success, and executive leadership.
• Communicate product strategy, priorities, trade-offs, and roadmap updates.
• Support go-to-market initiatives, sales enablement, product positioning, and customer adoption.
Qualifications:
Required:
• Bachelor's degree in Business, Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 3+ years of experience in product management, business analysis, software delivery, or technology strategy.
• Experience delivering software products, digital platforms, enterprise applications, or data-driven solutions.
• Working knowledge of AI concepts including machine learning, generative AI, natural language processing, predictive analytics, and AI agents.
• Experience collaborating with technical teams such as software engineers, architects, and data scientists.
• Strong experience writing product requirements, user stories, acceptance criteria, and business cases.
• Experience using Agile methodologies and product management tools.
• Excellent communication and stakeholder management skills.
• Strong analytical, problem-solving, and decision-making abilities.
Core Competencies:
• Product strategy and roadmap development
• AI, machine learning, generative AI, and automation concepts
• Customer discovery and use case validation
• Agile product management and backlog prioritization
• Data-driven decision making and KPI development
• Cross-functional leadership
• UX and workflow design
• Executive communication and presentation skills
• Risk management, governance, and responsible AI practices
Preferred Qualifications:
• Experience managing AI, machine learning, generative AI, or automation products.
• Experience with enterprise systems such as ERP, CRM, HCM, supply chain, finance, or operations platforms.
• Familiarity with cloud AI platforms including Oracle Cloud Infrastructure, Microsoft Azure AI, AWS AI, Google Cloud AI, or OpenAI technologies.
• Knowledge of AI governance, model monitoring, prompt engineering, data privacy, security, and compliance.
• Understanding of APIs, data pipelines, vector databases, retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI architectures.
• Experience launching AI products in enterprise or regulated industries.
• Experience developing ROI models and business value frameworks for AI initiatives.
• Product certifications such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or Pragmatic Institute certification.
Company:
At ERP Suites, our focus is on helping our customers realize IT's potential. Our comprehensive ERP solutions enable them to streamline and scale their IT products and processes. And this leads directly to improved efficiency and increased margins. We are a proud Oracle Gold Partner and champion of proactive JD Edwards management and custom product enhancements.
ERP Suites provides technical consulting, cloud services, managed services, and digital transformation solutions for some of America's top companies. We build secure connections, improve performance, automate workloads and give them mobility. In other words, we help them stay on top.
We deliver multi-functional value through cloud services, digital transformation, ERP consulting services, ERP managed services, and software development.
Core Values:
  • Make Customers Successful
  • Be An Advisor
  • Be a teacher
  • Be a Coach
  • Have Fun
  • Do the Right Things for the ERP Suites Family
  • Adapt Quickly to Changing Roles and Environments
This is Where IT Change Starts.
  • With questions.
  • With problems that need to be solved.
  • With business needs, both immediate and long term.
  • Because technology and its impact on business isn't getting any simpler.
  • That's why we exist.
  • To answer the tough questions.
  • To find a solution to every problem-no matter the size or scope.
  • And to help companies not just identify IT's potential, but realize IT