manager to design, build, implement and maintain complicated data science and deep learning-based systems (image processing, data extraction, data recognition, data prediction, suggestions, data optimization).
Work closely with operations and subject matter experts to optimize internal processes and/or build customer facing solutions.
Host solutions in cloud computing platforms (Amazon Web Services).
Being self-driven and able to take initiative to further the success of the business.
Leveraging emerging technologies and critical thinking skills to continually innovate and automate existing methodologies, processes, and reporting. Design, develop, test, and implement new products and solutions.
Effectively communicate with concise insights and/or visualizations of processes utilizing software such as Miro while partnering collaboratively with colleagues and senior leaders in the organization and their partners.
Utilize instrumentation and experimentation techniques to predict, measure, and optimize Cafu fleet operations.
Requirements
Strong algorithmic skills. Familiarity or expertise in pathfinding algorithms and solving problems like:
Experience working on distributed systems: developing reliable, high performance, highly scalable software (primarily in python/Go)
Ability to work with data scientists to launch and interpret results of experiments. This can involve interacting with large data processing pipelines, distributed data stores, and file systems.
Bonus points if you have experience geospatial services and datasets before, such as maps data, routing algorithms, traffic patterns, etc.
Solid understanding of a wide range of statistical and machine learning methods and experience with the full ML lifecycle.
Benefits What we offer:
A collaborative environment where diversity is celebrated
A flexible workforce
A competitive market salary with housing and transport allowances
A fast-moving supportive company where everybody takes ownership over their work
The opportunity to share in the success of the business with stock options for qualifying employees
The opportunity to work on a product with growing global appeal
The opportunity to work with some of the most talented people in the industry from well-known digital brands
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