AI/ML Engineer-(Azure AI Services)- Remote

Job Description

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.