The role involves architecting and deploying artificial intelligence solutions within the Microsoft Azure ecosystem. Responsibilities include designing end-to-end machine learning architectures that encompass data ingestion, feature engineering, model training, and deployment. The position requires implementing MLOps practices, such as CI/CD pipelines and operational monitoring, to ensure system efficiency. Additionally, the role entails preprocessing data to maintain high-quality inputs and managing vector indexes for search and retrieval use cases. Professionals in this position will evaluate and integrate various machine learning frameworks while ensuring all solutions meet security, cost, and performance standards.

Candidates are required to hold a bachelor's degree in Computer Science, Informatics, Engineering, or possess equivalent practical experience. A minimum of five years of experience in machine learning and AI-focused roles is necessary. Applicants must demonstrate strong expertise in designing and deploying AI solutions on Microsoft Azure, alongside a solid understanding of MLOps and end-to-end pipelines. Proficiency in data preprocessing, vector databases, and English communication is also required.