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Remote Knowledge Engineer Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

Aerospace Engineer

Dayton, OH · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0231883 Location: Dayton,OH,US Share job via: Share Aerospace Engineer ... Your engineering knowledge will help the DoD expand and improve their capabilities to enhance ...

Booz Allen Hamilton, Inc.

Software Engineer

Beavercreek, OH · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0242981 Location: Beavercreek,OH,US Share job via: Share Software ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Nexus Engineering Group

SCADA Engineer

Columbus, OH · On-site +1

$85K - $120K/yr

Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Nexus Engineering Group

SCADA Engineer

Cleveland, OH · On-site +1

$85K - $120K/yr

Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Nexus Engineering Group

SCADA Engineer

Maumee, OH · On-site +1

$85K - $120K/yr

Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Nexus Engineering Group

SCADA Engineer

Maumee, OH · On-site +1

$85K - $120K/yr

Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Nexus Engineering Group

SCADA Engineer

Columbus, OH · On-site +1

$85K - $120K/yr

Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Nexus Engineering Group

SCADA Engineer

Cleveland, OH · On-site +1

$85K - $120K/yr

Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar ... office, remote, and active project-site settings. This role may require: * Prolonged periods of ...

Statheros

Document workflows, methodologies, and code for reproducibility and knowledge sharing ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Dayton, OH · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246722 Location: Dayton,OH,US Share job via: Share AI/ML Engineer The ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

Remote Work: Hybrid Job Number: R0243473 Location: Beavercreek,OH,US Share job via: Share Systems ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0245960 Location: Beavercreek,OH,US Share job via: Share Systems ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

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Remote Knowledge Engineer information

What is a remote knowledge engineer?

A Remote Knowledge Engineer is a professional who designs, develops, and maintains systems that organize and manage knowledge, often using artificial intelligence and machine learning. They work from a remote location, leveraging digital tools to gather, structure, and analyze information for organizations. Their responsibilities may include building knowledge graphs, developing ontologies, and ensuring that data is accessible and usable for decision-making. Remote Knowledge Engineers collaborate with subject matter experts, software developers, and data scientists to optimize knowledge management solutions. They play a key role in helping organizations turn complex data into actionable insights, all while working outside of a traditional office environment.

What are the key skills and qualifications needed to thrive as a remote knowledge engineer?

To excel as a Remote Knowledge Engineer, you generally need expertise in knowledge management, ontologies, data modeling, and a relevant degree in computer science or information science. Familiarity with technical tools such as semantic web technologies (e.g., RDF, OWL), knowledge graph platforms, and query languages like SPARQL is often required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating across distributed teams and translating complex information. These skills ensure the creation, organization, and optimization of knowledge systems that support informed decision-making and efficient remote operations.

How does a remote knowledge engineer typically collaborate with subject matter experts and development teams?

As a Remote Knowledge Engineer, you will frequently interact with subject matter experts (SMEs) to extract, structure, and validate knowledge for use in AI systems or knowledge bases. Collaboration is often conducted through virtual meetings, shared documentation, and project management tools. You’ll also work closely with developers to integrate structured knowledge into systems and ensure accuracy. Effective communication and the ability to translate complex concepts into structured data formats are key to success in this remote, cross-functional environment.

What is the difference between Remote Knowledge Engineer vs Remote Data Scientist?

AspectRemote Knowledge EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of ontologies and knowledge basesBachelor's or higher in CS, Statistics, or related; proficiency in programming and statistical analysis
Work EnvironmentCollaborates with AI teams, develops knowledge systems, often in tech or AI companiesAnalyzes data, builds models, works in tech, finance, or healthcare sectors
Employer & Industry UsageUsed in AI, knowledge management, and enterprise solutionsCommon in data-driven industries like tech, finance, healthcare

While both roles involve technical expertise, Remote Knowledge Engineers focus on developing and managing knowledge bases and AI systems, whereas Remote Data Scientists analyze data to derive insights. Both roles often work in tech industries and require strong technical backgrounds, but their core responsibilities differ significantly.

What are the most commonly searched types of Knowledge Engineer jobs in Ohio?

The most popular types of Knowledge Engineer jobs in Ohio are:

What are popular job titles related to Remote Knowledge Engineer jobs in Ohio?

For Remote Knowledge Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Engineer jobs in Ohio look for?

The top searched job categories for Remote Knowledge Engineer jobs in Ohio are:

What cities in Ohio are hiring for Remote Knowledge Engineer jobs?

Cities in Ohio with the most Remote Knowledge Engineer job openings:

Remote Knowledge Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Toledo, OH • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply