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 architecturesDevelop 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, OCRProficient in Python, including libraries such as Pandas, NumPy, OpenCV, and TensorFlowExperience with Azure SDK for Python and Flask-based REST APIsSQL proficiency and experience with ETL processesAzure Document Intelligence and model deployment in AzureFamiliarity with Git, Azure ML, and Azure DevOpsExperience 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 architecturesDevelop 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, OCRProficient in Python, including libraries such as Pandas, NumPy, OpenCV, and TensorFlowExperience with Azure SDK for Python and Flask-based REST APIsSQL proficiency and experience with ETL processesAzure Document Intelligence and model deployment in AzureFamiliarity with Git, Azure ML, and Azure DevOpsExperience with Databricks and MLflow