- Triunity Software
- Little Rock, AR
- Full-Time
- 44 days ago
- $100,000 – $110,000
AI Engineer.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
AI Engineer: our view in 3 lines...
- The Role:This role is for an AI engineer building machine learning and AI applications for software products.
- The Person:The person will design, develop, deploy, monitor, and optimize machine learning models, build data pipelines, and work with software engineers and product teams to integrate AI solutions.
- Requirements:The ideal candidate has a degree in Computer Science, Data Science, or AI and experience with Python, TensorFlow, PyTorch, scikit-learn, NLP, computer vision, AWS, Azure, GCP, SQL, and NoSQL databases.
About the role
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
