Ai Jobs in Columbus, OH
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Ai • columbus oh
- Promoted
AI Engineer
Integrated Talent StrategiesColumbus, OH, United States- Promoted
AI Engineer
OracleColumbus, OH, United States- Promoted
- New!
AI Engineer
Eliassen GroupColumbus, OH, United States- Promoted
- New!
Tax AI Associate
CroweColumbus, OH, United States- Promoted
AI / ML Developer
iVueitColumbus, OH, US- Promoted
AI Engineer
ACL DigitalColumbus, OH, United States- Promoted
Post Doctoral Scholar - AI for Health - AI(X) Hub
InsideHigherEdColumbus, Ohio, United States- Promoted
AI Strategy Manager
Columbus StaffingColumbus, OH, US- Promoted
AI Engineering Manager
ComResourceColumbus, OH, US- Promoted
- New!
Senior Manager AI Strategy
Ohio StaffingColumbus, OH, US- Promoted
AI Engineer
Global Data ConsultantsColumbus, OH, United States- Promoted
VP, AI Enablement
Molina HealthcareColumbus, OH, United States- Promoted
AI Engineering Manager
Encova InsuranceColumbus, OH, United States- Promoted
- New!
AI Engineer
HRU Inc Technical ResourcesColumbus, OH, United States- Promoted
AI Engineer
BattelleColumbus, OH, United StatesAI Deployment Manager
JPMorgan Chase Bank, N.A.Columbus, OH, United States- Promoted
AI Strategy Lead
Manifest SolutionsColumbus, OH, US- Promoted
Product Manager - AI / ML
VersapayColumbus, OH, US- Promoted
Learning Design Lead - AI
HumanaColumbus, OH, United StatesThe average salary range is between $ 26,880 and $ 47,326 year , with the average salary hovering around $ 31,200 year .
- psychiatrist (from $ 72,500 to $ 300,000 year)
- physician (from $ 65,813 to $ 240,000 year)
- owner operator (from $ 57,433 to $ 235,750 year)
- performance analyst (from $ 51,637 to $ 231,820 year)
- technical program manager (from $ 122,275 to $ 228,000 year)
- investment banking (from $ 111,910 to $ 227,191 year)
- physical design engineer (from $ 167,533 to $ 225,265 year)
- pediatric dentist (from $ 212,500 to $ 225,000 year)
- dentist (from $ 149,451 to $ 225,000 year)
- general dentist (from $ 170,000 to $ 225,000 year)
- Plano, TX (from $ 29,449 to $ 168,800 year)
- Seattle, WA (from $ 37,770 to $ 156,829 year)
- Irvine, CA (from $ 36,400 to $ 154,199 year)
- Boston, MA (from $ 33,068 to $ 114,848 year)
- Arlington, TX (from $ 31,200 to $ 106,927 year)
- Huntsville, AL (from $ 22,998 to $ 100,858 year)
- Atlanta, GA (from $ 28,176 to $ 97,500 year)
- Austin, TX (from $ 29,262 to $ 91,385 year)
- Chicago, IL (from $ 30,225 to $ 83,841 year)
- Ventura, CA (from $ 32,175 to $ 80,786 year)
The average salary range is between $ 27,300 and $ 51,967 year , with the average salary hovering around $ 31,962 year .
Related searches
AI Engineer
Integrated Talent StrategiesColumbus, OH, United States- Full-time
Integrated Talent Strategies (ITS) is seeking an AI Engineer to work with a top company in the Columbus, OH area.
Fully onsite position in Columbus, OH. Full time position Monday-Friday 40 hours with benefits offered.
The ideal AI Engineer will design, develop, and deploy secure, innovative AI solutions leveraging generative AI, large language models (LLMs), and modern cloud platforms. This role requires a strong foundation in AI / ML engineering, software development best practices, and the ability to work autonomously while collaborating across diverse teams.
Key Responsibilities :
- Cloud Integrations : Design and implement AI solutions integrated with cloud platforms such as Azure and AWS, ensuring scalability and security.
- AI & ML Pipeline Development : Build and optimize end-to-end AI pipelines and ML workflows for training, fine-tuning, and deploying models.
- LLM Development : Fine-tune foundation models and / or train custom LLMs; integrate LLMs into enterprise applications and systems.
- Generative AI Solutions : Leverage LLMs and related frameworks for application and systems development.
- Secure-by-Design Development : Implement robust security practices in software development using modern, high-level languages.
- Performance Evaluation : Conduct comprehensive evaluations of AI / ML pipelines, model performance, generative AI capabilities, and code quality; iterate for continuous improvement.
- AI Engineering Operations : Apply MLOps and AI engineering best practices, including containerization, CI / CD pipelines, monitoring, and lifecycle management.
- Technical Documentation : Produce clear, comprehensive documentation and communicate effectively with both technical and non-technical stakeholders.
- Mentorship & Peer Training : Provide guidance, mentorship, and training for team members and peers to foster knowledge sharing and skill development.
- Research & Innovation : Participate in research and development initiatives, pilot programs, and innovation sprints to explore Client AI capabilities and opportunities.
Minimum Requirements :
Experience :
Technical Skills
Apply now for more information!