GenAI/AI/ML architect with Cloud

3 days ago

Bengaluru, India Quest Global Full time

Job Requirements

1. Job Description : AI/ML/GenAI Architect with Microsoft Azure Cloud skills

Responsibilities:

  • Design and implement advanced AI solutions, including machine learning models, computer vision applications, OCR systems, and Generative AI (GenAI) solutions using frameworks like TensorFlow, Pytorch, OpenCV and Langchain.
  • knowledge of AI orchestration, AI Agents, Agentic AI, Enterprise Integration skills, distributed and event based architectures
  • Develop end-to-end machine learning pipelines, from data collection and preprocessing to model training and deployment, utilizing Python libraries such as Pandas and NumPy.
  • Architect and implement robust MLOps infrastructure to support model training, monitoring, and deployment, leveraging Azure ML, Azure Document Intelligence, and Azure DevOps.
  • Lead AI/ML projects from conceptualization to production, focusing on the development and deployment of Large Language Models (LLMs) for various applications.
  • Conduct comprehensive data analysis, statistical validation, and model performance evaluation, employing SQL proficiency and ETL processes.
  • Implement CI/CD pipelines for seamless deployment and integration of AI models, using Git for version control and Databricks for collaborative data science workflows.

Skills:

  • Knowledge of Large Language Models (LLMs) and Generative AI (GenAI)
  • Machine Learning, Computer Vision, Image Processing, OCR
  • Proficient in Python, including libraries such as Pandas, NumPy, OpenCV, and TensorFlow
  • Experience with Azure SDK for Python and Flask-based REST APIs
  • SQL proficiency and experience with ETL processes
  • Azure Document Intelligence and model deployment in Azure
  • Familiarity with Git, Azure ML, and Azure DevOps
  • Experience with Databricks and MLflow

Work Experience

1. Job Description : AI/ML/GenAI Architect with Microsoft Azure Cloud skills

Responsibilities:

  • Design and implement advanced AI solutions, including machine learning models, computer vision applications, OCR systems, and Generative AI (GenAI) solutions using frameworks like TensorFlow, Pytorch, OpenCV and Langchain.
  • knowledge of AI orchestration, AI Agents, Agentic AI, Enterprise Integration skills, distributed and event based architectures
  • Develop end-to-end machine learning pipelines, from data collection and preprocessing to model training and deployment, utilizing Python libraries such as Pandas and NumPy.
  • Architect and implement robust MLOps infrastructure to support model training, monitoring, and deployment, leveraging Azure ML, Azure Document Intelligence, and Azure DevOps.
  • Lead AI/ML projects from conceptualization to production, focusing on the development and deployment of Large Language Models (LLMs) for various applications.
  • Conduct comprehensive data analysis, statistical validation, and model performance evaluation, employing SQL proficiency and ETL processes.
  • Implement CI/CD pipelines for seamless deployment and integration of AI models, using Git for version control and Databricks for collaborative data science workflows.

Skills:

  • Knowledge of Large Language Models (LLMs) and Generative AI (GenAI)
  • Machine Learning, Computer Vision, Image Processing, OCR
  • Proficient in Python, including libraries such as Pandas, NumPy, OpenCV, and TensorFlow
  • Experience with Azure SDK for Python and Flask-based REST APIs
  • SQL proficiency and experience with ETL processes
  • Azure Document Intelligence and model deployment in Azure
  • Familiarity with Git, Azure ML, and Azure DevOps
  • Experience with Databricks and MLflow

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