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# Generative AI Engineer - Irving, TX (Fulltime, Onsite - Only Local)

- **Company:** Northern Base
- **Location:** Charlotte, NC, United States
- **Salary:** $90,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Data Processing, Feature Engineering, Large Language Models, Deep Learning, Generative AI, Scikit Learn, Unsupervised Learning
- **Published:** July 26, 2026
- **Apply:** https://www.careerjet.com/jobad/us6cee0ab2f1e43bbaae3ede655514d7be

## About the Role

Desired Competencies (Technical/Behavioral Competency) Must-Have Programming languages: Python (proficient) with major ML libraries Experience with opensource Gen AI LLMs e.g…

## Description

Irving, TX (Onsite, Only local)
Fulltime
Must-Have
Programming languages: Python (proficient) with major ML libraries
Experience with opensource Gen AI LLMs e.g., Llama and Dolly
Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
Data wrangling & manipulation: SQL, data cleaning, feature engineering
Hyperscalers : AWS, Azure, or GCP experience a plus
Good-to-Have
On prem and cloud development projects with CI/CD Experience
Key Expectations from the Role
1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development


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