Azure OpenAI Python AI Engineer — NLP & MLOps

TechDoQuest

Cleveland (OH)

On-site

USD 90,000 - 115,000

Full time

14 days+
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Job summary

A leading technology company based in Cleveland seeks a skilled Python AI Engineer to develop and deploy AI models using Azure OpenAI services. The ideal candidate will design scalable AI solutions for tasks like text generation and sentiment analysis. Responsibilities include maintaining Python scripts, fine-tuning AI models, and ensuring performance in production. Strong expertise in Python programming and Azure OpenAI is essential. This role offers opportunities to work with cutting-edge AI technologies in a collaborative environment.

Qualifications

  • Strong proficiency in Python programming and experience with AI/ML frameworks.
  • Hands-on experience with Azure OpenAI models and APIs.
  • Solid understanding of MLOps concepts, version control, and CI/CD pipelines.
  • Familiarity with data preprocessing, prompt engineering, and performance tuning.

Responsibilities

  • Develop and maintain robust Python scripts to interact with Azure OpenAI APIs.
  • Evaluate, select, and fine-tune Azure OpenAI models based on project needs.
  • Design and implement AI solutions for multiple NLP tasks.
  • Deploy, monitor, and optimize AI models in production environments.
  • Collaborate and communicate complex AI concepts effectively.

Skills

Python programming
AI/ML frameworks
MLOps concepts
Problem-solving

Tools

Azure OpenAI
PyTorch
TensorFlow
Transformers

Job description

A leading technology company based in Cleveland seeks a skilled Python AI Engineer to develop and deploy AI models using Azure OpenAI services. The ideal candidate will design scalable AI solutions for tasks like text generation and sentiment analysis. Responsibilities include maintaining Python scripts, fine-tuning AI models, and ensuring performance in production. Strong expertise in Python programming and Azure OpenAI is essential. This role offers opportunities to work with cutting-edge AI technologies in a collaborative environment.
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