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As a Senior Flutter Developer at Mamo, you will create and optimize FinTech mobile apps, develop UI/UX features, architect code bases, ensure app performance, implement security measures, and collaborate with cross-functional teams to drive mobile engineering best practices.

As a Senior Flutter Developer, you will be responsible for developing UI/UX for customer-facing features, optimizing app performance, designing scalable mobile architecture, and establishing testing infrastructure. You will work closely with teams to enhance financial apps ensuring reliability and exceptional user experiences.

The Customer Acquisition Specialist will handle inbound sales inquiries, manage the sales pipeline through CRM tools, conduct product demonstrations, and develop a deep understanding of Mamo's offerings. They will work to meet or exceed sales targets while providing tailored solutions to potential customers.

As a Customer Acquisition Specialist, you will handle inbound sales inquiries, manage CRM systems, conduct product demonstrations, and strive to meet sales targets. You will engage with potential customers to identify their needs and tailor solutions accordingly, guiding them through the sales process and presenting the value of Mamo's offerings.

As a Data Engineer at Mamo, you will analyze large datasets using machine learning techniques, collaborate with cross-functional teams to develop analytics solutions, and create data models and performance metrics. You will execute machine learning projects, present insights to stakeholders, and enhance products through data-driven strategies.

The Data Engineer will analyze large data sets, collaborate with cross-functional teams to develop analytics solutions, execute machine learning projects, and present data-driven insights to stakeholders. Responsibilities include creating data models and performance metrics to enhance products and services.

As a Data Engineer at Mamo, you will analyze large datasets using statistical and machine learning techniques, collaborate across departments to develop data analytics solutions, create data models and automation systems, execute machine learning projects, and present results to stakeholders, driving data-driven business strategies.