AI Architect (W2 Position) ---Remote

Overview

Remote
$80 - $85
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

GENAI
OpenAI GPT-3
AWS
Azure
Google Cloud
Docker
Kubernetes
TensorFlow
PyTorch
Hadoop
sql

Job Details

Job Title- AI Architect- W2 Position

Location- Houston, TX (Hybrid or Remote)

Type: Contract

Skills: 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., cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)., machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)., SQL and data processing tools (e.g., Apache Spark, Hadoop).

Job Description

  • 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., TensorFlow, 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., TensorFlow, 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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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