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AI Architect (12032-1)

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Houston, TX – Hybrid  
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).

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). 

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., 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).

Screening question:

  • ) How many years of experience does the candidate have in Generative AI (need 8+ years)?
  • ) What is the candidate’s Month and Day of DOB (required for submission to client as an unique identifier):
  • ) What is candidate’s desired hourly pay rate?
  • ) Please provide the link to candidate’s LinkedIn profile:
  • ) Is the candidate legally authorized to work in the US for any employer?
  • ) What is candidate’s number of years of total IT Experience?
  • ) What is Candidate’s number of years of experience In Required Skills ?
  • ) What is Candidate’s highest degree Completed (including Specialization)
  • ) What is Candidate’s education Start Date (MM/YYYY format)?
  • ) What is Candidate’s Most Recent or Current Employer/Company Name?
  • ) What is candidate’s Most Recent Company Address (Only State and City) ?
  • ) Is the candidate a Former TCS Emp/BA ID? If yes, please mention TCS Emp/BA ID

 

 

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