AI Engineer
Ar-Little Rock-Full Timemid
Machine Learning EngineerData
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Quick Summary
Key Responsibilities
Design, develop,
Requirements Summary
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Experience with NLP,
Technical Tools
Machine Learning EngineerData
Benefits:
- Bonus based on performance
- Health insurance
- Training & development
About the Role:
Triunity Software is looking for a talented and driven AI Engineer to join our growing team in Little Rock, AR. This is an exciting opportunity to work at the forefront of artificial intelligence and software innovation, building intelligent solutions that make a real impact. If you're passionate about AI and love solving complex problems, we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning models and AI-driven applications
- Collaborate with software engineers and product teams to integrate AI solutions into existing platforms
- Analyze large datasets to identify patterns, trends, and opportunities for model improvement
- Research and evaluate emerging AI/ML frameworks, tools, and methodologies
- Monitor, maintain, and optimize deployed models for performance and accuracy
- Develop and maintain data pipelines to support model training and inference workflows
- Document technical processes, architectures, and model performance metrics
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with NLP, computer vision, or generative AI is a strong plus
- Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Strong understanding of data structures, algorithms, and statistical modeling
- Experience with SQL/NoSQL databases and data pipeline tools
- Excellent problem-solving skills and ability to work in a collaborative, agile environment
Location & Eligibility
Where is the job
Ar-Little Rock-
On-site at the office
Who can apply
Same as job location
About this job
- Posted
- 62 days ago
Listing Details
- Posted
- August 14, 2026
- First seen
- August 22, 2026
- Last seen
- October 16, 2026
Posting Health
- Days active
- 54
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- October 16, 2026
Signal breakdown
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External application
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