AI/ML Engineer

Job Description

AI/ML Engineer Primary Skill LLM Architecture , Azure Open AI Secondary Skill Python Programming AI/ML Engineer-(Azure AI Services)- Remote Job description We are hiring for a AI/ML Engineer with expertise in LLM Architecture , Azure Open AI services, 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 Architecture, 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 Azure OpenAI model, 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. Qualifications 8+ years working experience as a technical engineer and architect. 5+ years hands on experience with Azure Proficiency in Python and API development using FastAPI or Flask, with experience in scalable AI service deployment Strong knowledge of different machine learning algorithms. Deep Learning: Proficiency in deep learning techniques and frameworks Machine Learning: Strong understanding of traditional machine learning algorithms and their applications. Hands on experience with AI Studio, Open AI, Copilot studio etc. Strong communication skills must be able to describe and explain complex AI/ML concepts and models to business leaders. Strong understanding of Generative AI concepts and LLM Models tailored to a wide variety of automotive applications. Strong documentation skills for model architecture, code, and processes.