Develop and apply machine learning innovations to business problems with minimal technical supervision. Assess your own and others' results to understand their applicability in the real world. Understand stakeholders' requirements and communicate results and conclusions accurately, clearly and winsomely. Perform feasibility studies and analyze data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Maintain and develop data and software with high-quality standards and minimal defects. Collaborate with technical colleagues on the integration and deployment of ML solutions. Encourage team building, motivation and cultivate effective team relations. Bachelor's degree in computer science or an equivalent numerate discipline Bachelor's degree in computer science or an equivalent numerate discipline
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