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Remote Machine Learning Robotics Jobs in Cincinnati, OH

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 ...

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 ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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 ...

2106 Platform Engineer IV

Cincinnati, OH · Remote

$148K - $165K/yr

REMOTE EST/CST Years of Experience: 5-20 TOP SKILLS: Must Have * Java 8-12 * Springboot * Kafka ... machine-learning and data-warehousing platforms. • Define and implement various strategies ...

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Remote Machine Learning Robotics information

See Cincinnati, OH salary details

$31.2K

$61.2K

$95.5K

How much do remote machine learning robotics jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote machine learning robotics in Cincinnati, OH is $61,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $72,000.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Cincinnati, OH? For Remote Machine Learning Robotics jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Cincinnati, OH look for? The top searched job categories for Remote Machine Learning Robotics jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Machine Learning Robotics jobs? Cities near Cincinnati, OH with the most Remote Machine Learning Robotics job openings:
AI & Mobile Product Manager

AI & Mobile Product Manager

ERP Suites

Loveland, OH • On-site, Remote

Full-time

Re-posted 12 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