Role: AI/ML Azure Engineer ( Azure AI Document Intelligence )

Duration : Full Time / Contact W2

Location: NYC, NY

Mode: Hybrid

 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.