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The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.

The Escalation Manager at Cleo is responsible for enhancing customer satisfaction by effectively managing escalation procedures, coordinating with teams, monitoring support queues, and overseeing the transition from Professional Services to Support. This role requires excellent communication skills and a focus on process improvement and client relationships.

The Machine Learning Engineer is responsible for developing, implementing, and productizing machine learning models for business solutions. Key tasks include model deployment, data preparation, collaboration with product teams, optimization, monitoring, and staying current with AI/ML trends.

The Senior Implementation Engineer will lead end-to-end EDI solution implementations, ensuring compliance with industry standards. The role involves engaging with clients for technical support, troubleshooting EDI issues, performing quality assurance, and developing documentation and training materials to aid client understanding of EDI processes.

As a Solutions Architect, you will lead technical discussions and presentations with prospective clients, demonstrating the value of Cleo's integration solutions. You will conduct discovery sessions, complete proofs of concept, and respond to technical inquiries during the sales cycle, influencing prospects to use Cleo's technology for their integration challenges.