Description

You will build, deploy, and manage machine learning models and AI solutions within the Azure ecosystem.

Responsibilities

• Design and maintain scalable AI/ML applications hosted on Azure cloud infrastructure.
• Deploy machine learning models using Azure Machine Learning and manage OpenAI integrations.
• Automate deployment pipelines using Azure DevOps and CI/CD tools.
• Establish ML pipelines to ensure model reproducibility, monitoring, and version control.
• Monitor production models for performance, drift, and anomalies.

Required Skills

• 5+ years of experience in AI/ML development.
• Proficiency in Python and TypeScript.
• Strong experience with Azure AI/ML services and Azure DevOps.
• Hands-on experience with PyTorch, Langchain, and Scikit-learn.
• Experience with MLflow, Kubeflow, or Weights & Biases.
• Competency in containerization using Docker.
• Knowledge of Llama, Mistral, Cohere, or similar LLM frameworks.
• Experience with data preprocessing, model training, and hyperparameter tuning.
• Ability to optimize models for performance, scalability, and cost.

Preferred Skills

• Experience fine-tuning Large Language Models (LLMs) and using Hugging Face.
• Knowledge of distributed computing frameworks like Spark or Ray.
• Azure AI Engineer Associate certification or a Master's degree.

Key Skills

Education

Any Graduate