Job Description

About The Role RoleAI/ML Azure Engineer ( Azure AI Document Intelligence ) Duration Full Time / Contact W2 LocationNYC, NY ModeHybrid JD below: Designing, implementing, and maintaining AI infrastructure supporting generative Ai and machine learning services, including data ingestion, training, evaluation, and deployment. Develop and maintain Cognitive Services operations standards and procedures, including security and ethics. Collaborate with Customers, Machine Learning Engineers, and Data Scientists to understand their infrastructure needs and ensure AI systems are robust, scalable, and efficient. Develop automation tools to enable machine learning and AI models. Work on optimizing and scaling existing models and algorithms for efficient inference. Deploy, monitor, and manage AI models in production. Implement rigorous security protocols to protect sensitive data and prevent abuse. Provide Presales engineering support for Cognitive Services, including cost estimates for specific customer scenarios. Minimum of 2 years implementing Azure Cognitive Services, including OpenAI, Speech, ML Knowledge of Python and experience profiling GPU performance and distributed training runs. Experience with machine learning frameworks like PyTorch, TensorFlow, or similar. Demonstrated ability to design, implement, and evaluate Cognitive Services, including OpenAI Generative Ai Services, Speech, Language, Decision, and Vision. Demonstrated ability to develop and support Ai training models. Work experience in large international environments.