Experience with TensorFlow, Keras, Scikit-learn, Scipy, Numpy, Pandas
Experience with Azure AI Services
Familiarity with Azure cloud orchestration tools
Experience with microservice architecture in a cloud environment
Requirements documentation design
Roles Responsibilities:
AI/ML Development: Develop and deploy AI/ML models using Python. Work with libraries such as TensorFlow, Keras, Scikit-learn, Scipy, Numpy, and Pandas to build and enhance machine learning solutions.
Microservices Integration: Design and implement RESTful microservices using Python to support scalable and efficient data processing and model serving.
Azure AI Services: Utilize Azure AI Services to integrate and deploy AI/ML solutions within the cloud environment.
Cloud Orchestration: Familiarity with Azure cloud orchestration tools to manage and automate the deployment of cloud resources and services.
Microservice Architecture: Experience with designing and managing microservice architectures in a cloud environment, ensuring high availability and scalability.
Requirements Documentation: Collaborate with stakeholders to document requirements, design specifications, and ensure alignment with business objectives.
Design Development: Translate requirements into robust, scalable, and efficient data engineering solutions and machine learning models.