Schlagwörter
Skills
- Experience in machine learning, data engineering and data science
- Able to communicate complex topics to a broad audience.
- Experience in writing funding proposals, white papers and research papers
Projekthistorie
Implementation of high quality, scalable and extendable Java and Python solutions in the financial sector using agile frameworks. Configuring, testing, debugging and deploying code, testing/verification applications and other tools, while adhering to specific development best practices and quality standards. Building and using REST APIs, Swagger as well as MYSQL databases by means of modern software development tools and systems, making use of continuous integration and delivery. Utilising Microsoft Azure for managing artifacts and Amazon Web Services to deploy machine learning models. Gathering business requirements, translating that information into detailed technical specifications from which programs will be written or configured, and validating that the proposed applications align with both the architectural design and the business needs. Responsible for troubleshooting and issue analysis, as well as coding, testing and implementing software enhancements.