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AI Architect; Houston, TX

Job in Houston, Harris County, Texas, 77246, USA
Listing for: ESR Healthcare
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85 USD Hourly USD 85.00 HOUR
Job Description & How to Apply Below
Position: AI Architect (12032-1) Houston, TX

AI Architect (12032-1) Houston, TX

Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3)., GenAI models for specific tasks and industries

If you post this job on a job board, please do not use company name or salary.
Experience level:
Mid-senior Experience required: 10 Years Education level:
Bachelor’s degree Job function:
Information Technology Industry: Information Technology and Services Pay rate : $85 per hour Total position: 1 Relocation assistance:
No Visa sponsorship eligibility:
No

Location:

Houston TX (Hybrid or Remote)

AI Architect

Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3).
Knowledge of fine-tuning GenAI models for specific tasks and industries.
Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI.
Familiarity with techniques for training and deploying GenAI models.
Experience in leveraging GenAI for tasks such as automated content creation and data augmentation.
Strong programming skills in languages such as Python, R, or Scala.
Expertise in machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Expertise in machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).

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