AI/ML Engineer- Remote

We are looking for a talented AI/ML Engineer with expertise in Azure AI services, Generative AI

(GenAI), and Azure ML Studio. The ideal candidate will have experience leveraging pre-trained OpenAI models, applying prompt engineering, and deploying AI solutions in production environments. You will be responsible for building, managing, and deploying scalable AI services using Python (FastAPI/Flask) and Azure technologies, with a focus on document processing, AI workflows, and operational excellence.

Key Responsibilities:

• Develop and deploy AI services using Generative AI (GenAI) models from Azure OpenAI Service, optimizing them for various use cases.
• Implement prompt engineering to maximize the effectiveness of generative models for business applications.
• Build, deploy, and manage AI/ML models using Azure ML Studio, ensuring seamless integration into production environments.
• Design and maintain scalable APIs using FastAPI or Flask for integrating AI services into applications.
• Leverage Azure Document Intelligence to create solutions for automated document processing and data extraction.
• Ensure efficient deployment, scaling, and management of AI services in Azure, focusing on

performance and cost optimization.

• Collaborate with teams to deliver AI solutions that meet business needs and improve automation workflows.
• Utilize Azure tools, including ML Studio, for monitoring, managing, and continuously optimizing AI models and services.
• Stay up-to-date with advancements in Generative AI, cloud-based AI deployment, and best practices for AI service management.

Requirements:

• Proven experience in AI & ML, particularly with Azure AI services and pre-trained Generative AI (GenAI) models.
• Expertise in Azure ML Studio for building, deploying, and managing AI/ML models at scale.
• Strong skills in prompt engineering to optimize the performance of large language models (LLMs) such as OpenAIs models.
• Proficiency in Python and API development using FastAPI or Flask, with experience in scalable AI service deployment
• Hands-on experience with Azure Document Intelligence or similar tools for document processing.
• Familiarity with cloud-based AI deployment, including Azure services for scaling, monitoring, and managing applications.
• Experience with containerization (Docker) and orchestration (Kubernetes) for managing AI solutions in production.
• Strong problem-solving skills with a focus on optimizing AI models and services for performance and efficiency.
• Excellent communication and collaboration skills, able to work with cross-functional teams and stakeholders.