Description

You will design and implement cloud-based AI solutions focused on extending GPT models.

Responsibilities

• Develop and fine-tune AI models using Prompt Engineering, RAG, and fine-tuning techniques.
• Implement vector embedding techniques and manage storage in vector databases for optimized querying.
• Integrate Microsoft Bing Search API and CosmosDB for chat history retrieval and storage.
• Build and maintain CI/CD pipelines using Azure DevOps for AI model deployment.
• Monitor, optimize, and troubleshoot AI models and infrastructure in production environments.
• Collaborate with software engineers to integrate models into systems and mentor junior team members.

Required Skills

• 5+ years of experience in data science or AI development.
• Hands-on experience with AI models and GPT architectures.
• Proficiency with Azure DevOps for CI/CD pipeline management.
• Experience with CosmosDB for efficient data storage and retrieval.
• Knowledge of infrastructure management for AI workloads.
• Practical application of RAG and Prompt Engineering.
• Experience implementing vector embedding and vector databases.
• Ability to ensure compliance with data privacy and security regulations.

Key Skills

Education

Any Graduate