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Intelligent Design Jobs in Ohio (NOW HIRING)

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$75 - $95/hr

... * Konzeption und Implementierung moderner Lösungen im Bereich Robotic Process Automation (RPA ), U ... Themen rund um Intelligent Automation , Process Mining und AI Benefits * Wir bieten dir ein ...

The Czk Platform is co

... intelligent and convincing way. The series of workshops will take place within the EU project Made In Platform for Contemporary Crafts & Design, and the results will be shown at two exhibitions in ...

Lincoln Electric

Electrical Design Engineer

Coldwater, OH · On-site

$23.41 - $40/hr

... intelligent software to help customers build better and achieve resilience in their operations ... Complete Electrical Engineering items needed to design, build, ship, and service our products. Role ...

Lincoln Electric

Electrical Design Engineer

Coldwater, OH · On-site

$23.41 - $40/hr

... intelligent software to help customers build better and achieve resilience in their operations ... Complete Electrical Engineering items needed to design, build, ship, and service our products. Role ...

Clio

Product Design Manager, Enterprise

Toronto, OH · Hybrid

$154K - $231K/yr

Leverage AI capabilities thoughtfully to create intelligent, adaptive experiences that serve enterprise legal professionals. * Hire and develop exceptional design talent through feedback, coaching ...

Personio GmbH

$69.66 - $98.69/hr

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of ... As a Design Engineer at Personio, you will sit at the intersection of design craft and technical ...

Analog Devices, Inc.

$69.66 - $92.88/hr

## Design Evaluation EngineerApplylocations: Germany, Ismaningtime type: Full timeposted on: Posted ... Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that ...

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Intelligent Design information

What is intelligent design?

Intelligent Design is the belief that certain features of the universe and living things are best explained by an intelligent cause, not by an undirected process such as natural selection. Proponents argue that complex biological structures exhibit signs of purposeful arrangement, which they interpret as evidence of design. However, Intelligent Design is not widely accepted within the mainstream scientific community, as it does not adhere to the standard methods of scientific inquiry and is often considered a form of creationism.

What are the key skills and qualifications needed to thrive as an intelligent design specialist, and why are they important?

To thrive as an Intelligent Design Specialist, you need a strong background in research, critical analysis, and scientific methodology, typically supported by advanced degrees in biology, philosophy, or related fields. Familiarity with data analysis tools, peer-reviewed literature databases, and scientific writing platforms is essential. Strong communication, analytical thinking, and the ability to present complex ideas clearly are critical soft skills for engaging with both scientific and public audiences. These skills are important for effectively conducting research, contributing to academic discussions, and communicating findings within the broader scientific community.

What are some common challenges faced by professionals working in intelligent design roles within technology and engineering sectors?

Professionals in Intelligent Design roles often encounter challenges such as integrating advanced technologies into existing systems, ensuring cross-functional collaboration between design, engineering, and product teams, and balancing innovative solutions with practical constraints like budget and timelines. Additionally, they must stay updated with rapidly evolving tools and methodologies, which requires continuous learning. Overcoming these challenges relies on strong communication skills, adaptability, and a deep understanding of both user needs and technical possibilities.

What is the difference between Intelligent Design vs Mechanical Engineer?

AspectIntelligent DesignMechanical Engineer
Required CredentialsTypically no formal credentials; often involves philosophical or scientific studyBachelor's degree in Mechanical Engineering or related field, Professional Engineer (PE) license often preferred
Work EnvironmentResearch, academia, or philosophical discussionsDesign, testing, manufacturing in industrial or corporate settings
Industry UsageUsed in scientific debates, education, and some research contextsApplied in manufacturing, product design, automotive, aerospace industries

Intelligent Design focuses on the concept of a higher intelligence influencing biological development, often within scientific or philosophical contexts. Mechanical Engineering involves designing and analyzing mechanical systems in industrial environments. While both fields involve problem-solving, their credentials, work environments, and industry applications differ significantly.

What are popular job titles related to Intelligent Design jobs in Ohio?

For Intelligent Design jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Intelligent Design jobs in Ohio look for?

The top searched job categories for Intelligent Design jobs in Ohio are:

What cities in Ohio are hiring for Intelligent Design jobs?

Cities in Ohio with the most Intelligent Design job openings:

Intelligent Design jobs near you

Intelligent Systems Engineer II

ClarkDietrich

West Chester, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 hours ago

ClarkDietrich rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Do you have a strong work ethic and the desire to join an organization that invests in its people through cross-training and development? ClarkDietrich fosters a work-life balance and offers competitive compensation and benefits. Join the ClarkDietrich team by applying to the Intelligent Systems Engineer II position.
Position Summary
The Intelligent Systems Engineer II will support the design, development, testing, and implementation of intelligent software systems that combine artificial intelligence, machine learning, data engineering, automation, cloud services, and modern software development practices.
This role is a hands-on technical engineering position. The Intelligent Systems Engineer II will work under the direction of the Technical Manager and will be responsible for solving assigned technical problems, contributing to system design and implementation, building reliable components, and supporting the development of scalable intelligent applications.
This position is not expected to independently define business problems, own business-facing strategy, or directly lead stakeholder discovery. Instead, the role will translate technical direction, requirements, and priorities provided by the Technical Manager into practical engineering solutions.
Role Scope and Expectations
  • Work primarily as a technical contributor under the direction of the Technical Manager.
  • Solve assigned technical problems at the system, software, data, AI, and integration levels.
  • Support implementation, testing, documentation, and production-readiness of intelligent systems.
  • Escalate risks, blockers, tradeoffs, and unclear requirements to the Technical Manager in a timely manner.
  • Participate in technical discussions and provide input, while business-facing prioritization and solution direction remain coordinated through the Technical Manager or designated leadership.

Key Responsibilities
Intelligent Systems Development
  • Design, develop, test, and maintain components of AI-enabled software systems and automation workflows.
  • Build technical solutions using machine learning models, large language models, data pipelines, APIs, databases, and cloud services.
  • Implement assigned features, services, integrations, and backend logic based on technical direction from the Technical Manager.
  • Support prototype development, technical validation, and transition of approved solutions into stable, production-ready implementations.
  • Research and evaluate technologies when assigned, and provide technical findings and recommendations to the Technical Manager.

Machine Learning and Applied AI
  • Support the development, testing, evaluation, and improvement of machine learning and AI-enabled solutions.
  • Assist with model training, validation, performance testing, accuracy measurement, and error analysis.
  • Prepare and process structured, semi-structured, and unstructured data for use in intelligent systems.
  • Help create evaluation methods to measure consistency, reliability, accuracy, and technical performance.
  • Work with the Technical Manager to ensure AI outputs are reviewed, explainable where needed, and aligned with approved technical standards.

Data Engineering and System Integration
  • Build and maintain data pipelines for collecting, cleaning, transforming, and organizing technical and operational data.
  • Develop backend services, APIs, and integration components that connect intelligent systems with internal applications.
  • Support data quality, traceability, security, and maintainability across assigned technical work.
  • Work with databases, file storage, cloud services, and application interfaces as needed.
  • Document data flows, integration logic, assumptions, and technical limitations.

Cloud and Software Engineering
  • Develop cloud-supported applications and services using modern software engineering practices.
  • Participate in version control, code reviews, testing, deployment, environment management, and release support.
  • Support CI/CD pipelines, containerization, automated testing, and monitoring where applicable.
  • Improve performance, reliability, scalability, maintainability, and cost efficiency of assigned systems.
  • Follow team standards for code quality, documentation, security, and operational support.

Collaboration and Technical Execution
  • Work under the leadership of the Technical Manager to execute assigned technical priorities.
  • Collaborate with software developers, engineers, data contributors, product contributors, interns, and IT stakeholders as needed.
  • Ask clarifying technical questions and raise risks, blockers, and tradeoffs early.
  • Participate in design reviews, technical planning sessions, and implementation discussions.
  • Provide clear status updates, technical notes, and documentation for assigned work.

Required Qualifications
  • Degree or equivalent experience in computer science, engineering, artificial intelligence, machine learning, data science, software engineering, or a related technical field.
  • Strong programming skills, preferably in Python and modern backend development.
  • Experience with applied AI, machine learning, data processing, automation, or intelligent software systems.
  • Experience working with APIs, databases, backend services, and software integrations.
  • Familiarity with cloud platforms, preferably AWS.
  • Understanding of software engineering practices, including version control, testing, documentation, and deployment.
  • Ability to understand technical direction and convert it into working software components.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Ability to work in a structured technical team environment under the guidance of a Technical Manager.

Preferred Qualifications
  • Advanced degree or research experience in artificial intelligence, machine learning, engineering, optimization, data science, or computational methods.
  • Experience with large language models, OCR, retrieval-augmented generation, vector databases, intelligent agents, or document intelligence systems.
  • Experience applying AI or machine learning to engineering, construction, manufacturing, automation, or complex operational workflows.
  • Experience with AWS services such as S3, Lambda, ECS, ECR, API Gateway, RDS, DynamoDB, Bedrock, Textract, SageMaker, or similar technologies.
  • Experience with CI/CD, GitHub, containers, automated testing, and modern software release practices.
  • Familiarity with technical design workflows, engineering software, or knowledge-intensive business processes is a plus.

Key Success Outcomes
  • Deliver assigned technical components for intelligent systems and AI-enabled applications.
  • Support data pipelines, model evaluation, backend services, APIs, and cloud-based implementation work.
  • Contribute to improving system reliability, maintainability, performance, and scalability.
  • Follow technical direction from the Technical Manager and execute work with increasing independence.
  • Communicate progress, risks, and technical findings clearly and consistently.
  • Help strengthen the team's software, data, AI, and cloud engineering practices.

Reporting and Collaboration
This role reports to the Technical Manager within the software development or digital technology function.
The position is primarily responsible for hands-on technical execution and implementation.
Business requirements, stakeholder priorities, and solution direction will be coordinated through the Technical Manager or designated leadership.
CLARKDIETRICH BENEFITS INCLUDE:
Full benefits package (Medical, Dental, Vision, Flexible Spending Accounts and Life Insurance)
401(k) with company match
Annual Incentive
Paid Time Off
Tuition Reimbursement
Professional Certification Reimbursement Program
Community Service Day

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