AI Engineer in Dallas — Build Impactful ML & AI Solutions

103; Dallas (TX); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Bonus based on performance

Health insurance

Training & development

Job summary

Triunity Software in Dallas, TX is seeking an AI Engineer to design, develop, and deploy ML models and AI-powered applications that integrate with our software products. You will collaborate with cross-functional teams to implement AI-driven features and optimize performance in production.

The role emphasizes exploring NLP, computer vision, and generative AI, building scalable data pipelines, and documenting architectures while advancing AI capabilities across our platform.

Qualifications

• Bachelor's or Master's degree in CS, Data Science, AI, or related field.
• Proven experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong Python (and related) programming skills.
• Experience with NLP, computer vision, or generative AI is a plus.
• Familiarity with cloud platforms and MLOps practices.

Responsibilities

• Design, develop, and deploy machine learning models and AI-powered applications.
• Collaborate with cross-functional teams to integrate AI into existing software.
• Research and evaluate emerging AI/ML frameworks and tools.
• Build and maintain data pipelines for model training and inference.
• Monitor, test, and optimize model performance in production.
• Document architectures, workflows, and AI system designs.
• Contribute to the full SDLC with AI-driven features.

Skills

Programming in Python

ML frameworks

NLP/Computer Vision

Cloud platforms

MLOps

SDLC

Education

Bachelor's or Master's in CS/Data Science/AI

Tools

TensorFlow

PyTorch

scikit-learn

Python

AWS / Azure / GCP

Job description

Triunity Software in Dallas, TX is seeking an AI Engineer to design, develop, and deploy ML models and AI-powered applications that integrate with our software products. You will collaborate with cross-functional teams to implement AI-driven features and optimize performance in production.

The role emphasizes exploring NLP, computer vision, and generative AI, building scalable data pipelines, and documenting architectures while advancing AI capabilities across our platform.