AI Engineer

Triunity Software

  • Little Rock, Arkansas
  • 2 days ago

    Highlights

    Lead by experts in the IT industry with a proven record of delivering software solutions, consulting, and staffing services, we have expertise in fulfilling client needs in terms of customized business solutions as well as IT consulting. We help our people in adding latest technologies, tools, methodologies and certifications to their resume by arranging trainings, seminars and knowledge sharing sessions.

    Numbers & Facts

    LocationLittle Rock, Arkansas
    Websitewww.triunitysoft.com

    Description

    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
    Compensation: $100,000.00 - $110,000.00 per year




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