AI Model Architect with Azure Expertise

1 month ago


Lahore, Punjab, Pakistan HR POD - Hiring Talent Globally Full time
Job Description

We are seeking a highly skilled AI Model Architect to join our team at HR POD - Hiring Talent Globally. As an AI Model Architect, you will be responsible for designing, developing, and deploying AI models and machine learning solutions using Azure AI services.

Key Responsibilities
  • Design and develop AI models and machine learning solutions using Azure AI services such as Azure Machine Learning, Cognitive Services, and Azure OpenAI.
  • Leverage tools like Azure Machine Learning, Cognitive Services, and Azure OpenAI to build intelligent applications that meet business needs.
  • Develop, train, and optimize machine learning models tailored to business requirements.
  • Collaborate with data engineers to integrate AI solutions with data pipelines and cloud infrastructure.
  • Monitor, analyze, and enhance the performance of AI models and systems.
  • Ensure the scalability, reliability, and security of AI solutions in production environments.
Requirements
  • Bachelors degree in Computer Science, Data Science, AI, or a related field.
  • 3+ years of experience in AI/ML development and deployment.
  • Hands-on experience with Azure AI services.
  • Proficiency in programming languages like Python or R, with a focus on AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with DevOps for AI, including CI/CD pipelines and model versioning.
  • Strong analytical and problem-solving skills.
  • Knowledge of data preprocessing and feature engineering techniques.
Benefits
  • Competitive salary: $120,000 - $180,000 per year.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Access to cutting-edge technology and tools.

HR POD - Hiring Talent Globally is an equal opportunities employer and welcomes applications from diverse candidates. If you are passionate about AI and have a strong background in machine learning, we encourage you to apply for this exciting opportunity.



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