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Remote Machine Learning Robotics Jobs in Cincinnati, OH

... robots (AMRs), robotic arms, and other advanced material handling systems. You will receive ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

... robots (AMRs), robotic arms, and other advanced material handling systems. You will receive ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

Principal Project Engineer

Florence, KY ยท On-site +1

$107K - $178K/yr

Our CJ Schwan's engineering team is seeking a remote-based Principal Project Engineer, with ... Understands LEAN principles and the critical interface points between the materials, machine, and ...

Senior Field Service Technician

Milford, OH ยท Remote

$83K - $133K/yr

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Technical Product Manager

Cincinnati, OH ยท On-site +1

$160K - $185K/yr

... powered by intelligent machines. If you're driven by ambition, success, fun, and learning ... Remote work options ๐Ÿ  * Flexible working hours ๐Ÿ•œ * Benefits above the law * But it's not just ...

New

... powered by intelligent machines. If you're driven by ambition, success, fun, and learning ... Remote work options ๐Ÿ  * Flexible working hours ๐Ÿ•œ * Benefits above the law * But it's not just ...

CAD Application Engineer

Cincinnati, OH ยท Remote

$90K - $130K/yr

Remote Company Overview: From start-ups to blue-chips, Saratech (saratech.com) helps companies ... machinery. We are seeking highly skilled and motivated CAD Application Engineers to join our ...

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Showing results 1-20

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 21, 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:

[US] IT Systems Implementation Engineer

Benchmark Gensuite

Cincinnati, OH โ€ข On-site, Remote

Other

Posted 24 days ago


Job description

IT Systems Implementation Engineer

Data Integration, Analytics & Agentic AI Solutions

Full Time
Remote - US

Reports to: Director of Product Implementation and Enablement


Innovate with Benchmark Gensuite as an IT Systems Implementation Engineer
Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you'll be helping customers throughout the business community empower informed decision-making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world a better place for the planet and better for its employees.
Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses' sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives.
Benchmark Gensuite Benefits
At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly recognize and reward excellent performers. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.
About Benchmark Gensuite...


Benchmark Gensuite enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform-locally, globally, and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.

About the Role:


Benchmark Gensuite is seeking a hands-on IT Systems Implementations Engineer to serve as the technical delivery owner for Subscriber-facing integration and AI implementation projects. This is a customer-facing, high-impact role for a professional who combines strong engineering instincts with the communication skills to work confidently alongside enterprise IT teams.

You will lead end-to-end delivery of systems integration projects-from technical discovery through go-live-working directly with Subscriber IT organizations to define requirements, design solutions, and drive implementation. A key emerging focus of this role is the deployment of Agentic AI solutions within Subscriber environments, enabling intelligent workflow automation on top of our SaaS platform. This role carries a clear growth path toward a Forward Deployed Engineer position for the right candidate.


Key Responsibilities:


Subscriber Engagement & Technical Discovery

  • Serve as the primary technical implementation contact for Subscriber IT teams across integration, analytics, and AI deployment engagements.
  • Lead technical discovery sessions to elicit, document, and validate integration and automation requirements.
  • Build trusted working relationships with Subscriber stakeholders ranging from IT managers and system administrators to enterprise architects.
  • Translate complex, ambiguous customer requirements into clear and actionable engineering specifications.


Systems Integration & Implementation

  • Own end-to-end delivery of systems integration projects including HR data synchronization, Single Sign-On (SSO/SAML/SCIM) implementations, application-specific data migrations, and API-driven record updates.
  • Design and document data mapping specifications, API integration flows, and system architecture diagrams.
  • Configure, test, and validate integrations in collaboration with Subscriber IT teams and internal Engineering.
  • Troubleshoot integration failures, data discrepancies, and connectivity issues across implementation phases.
  • Manage project scope, timelines, risks, and stakeholder communications across concurrent Subscriber engagements.


Agentic AI Solution Deployment

  • Partner with internal Engineering and Product teams to implement Agentic AI capabilities within subscriber instances.
  • Engage Subscriber IT teams to assess workflow automation opportunities and define requirements for AI agent implementations.
  • Support configuration, testing, and rollout of AI-driven automation solutions including intelligent data processing, decision support agents, and workflow orchestration.
  • Stay current on emerging Agentic AI platforms, frameworks, and SaaS integration patterns relevant to the enterprise EHS and compliance domain.
  • Serve as a knowledgeable resource to Subscribers navigating their AI adoption journey, helping them understand capabilities, limitations, and best practices.


Documentation & Continuous Improvement

  • Maintain comprehensive project documentation including requirements specs, integration design documents, test plans, and go-live runbooks.
  • Contribute to internal knowledge bases, reusable integration templates, and implementation playbooks.
  • Provide structured feedback to Product and Engineering teams based on Subscriber implementation experiences.


Required Qualifications

  • 3-5 years of experience in a systems implementation, solutions engineering, IT integration, or technical consulting role.
  • Solid working knowledge of systems integration concepts, RESTful APIs, webhooks, and data workflow design.
  • Hands-on experience with one or more of the following: SSO/SAML/SCIM protocols, HRIS platform integrations (e.g., Workday, ADP, SAP SuccessFactors), ETL pipelines, or enterprise data migration projects.
  • Experience deploying or configuring AI-driven automation within enterprise SaaS platforms.
  • Demonstrated ability to lead technical conversations and communicate complex concepts clearly to both technical and non-technical audiences.
  • Proven ability to manage multiple concurrent customer-facing implementation projects with competing timelines.
  • Strong documentation skills-comfortable producing requirements specs, data maps, API specs, and integration design artifacts.
  • Proficiency with project tracking and collaboration tools such as Jira, Confluence, Asana, or equivalent.


Preferred Qualifications

  • Exposure to Agentic AI platforms, LLM-based workflow automation, or AI agent frameworks (e.g., LangChain, AutoGen, CrewAI, or vendor-native AI agents in enterprise SaaS).
  • Familiarity with AI orchestration concepts such as tool use, retrieval-augmented generation (RAG), prompt chaining, and multi-agent coordination.
  • Familiarity with iPaaS platforms such as MuleSoft, Workato, Dell Boomi, or similar.
  • Working knowledge of API testing tools such as Postman or Swagger.
  • Basic scripting or query skills (SQL, Python, or similar) for data validation and troubleshooting.
  • Exposure to EHS, compliance, or workforce management software platforms.
  • PMP, CAPM, or equivalent project management certification.


Career Growth:

This role is designed to grow with you. High-performing candidates will have the opportunity to advance into a Forward Deployed Engineer role-taking on deeper technical ownership of integration architecture, Agentic AI implementations, custom development, and strategic Subscriber partnerships.


Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.

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