Responsibilities
Design and architect solutions that leverage Azure services and OpenAI technologies to address complex business problems and deliver innovative AI-powered applications.
Evaluate and recommend appropriate Azure services and OpenAI technologies based on project objectives, scalability, performance, and cost considerations
Design and implement end-to-end AI solutions, including data acquisition, data preprocessing, model training, deployment, and monitoring
Architect and optimize scalable and reliable cloud-based infrastructure on Azure, ensuring high availability, fault tolerance, and security
Develop architectural design documents, solution blueprints, and technical specifications to guide the development and implementation process
Collaborate with stakeholders, including product managers, data scientists, and others, to understand business requirements and translate them into technical solutions
Requirements
Preferred Qualifications:
Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in data and AI/ML.
Experience with OpenAI technologies, such as GPT-3, GPT-4 reinforcement learning, or computer
Knowledge of data privacy and security regulations and best practices related to Azure and AI solutions
Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.
Azure Solutions Architect certification preferred
Bachelor's or Master's degree in Computer Science, Engineering