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Seeking experienced Data Engineers to design and optimize real-time and batch data pipelines, leveraging cloud technologies for scalable data solutions.

Design and implement data solutions using Azure services, focusing on data integration, storage, processing, and analytics while collaborating with cross-functional teams.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

This role involves designing, building, and maintaining data integration and analytics infrastructure using Microsoft Azure, focusing on hands-on engineering and solution architecture.

Lead engineering initiatives with a focus on ML and software development, driving team excellence through strategic leadership and collaboration.

Design and develop AI automation solutions tailored to client needs, translating business problems into scalable workflows and managing client relationships.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.

The Business Intelligence Analyst will design and maintain PowerBI dashboards, leverage data for strategic decisions, and optimize business processes while collaborating with cross-functional teams.