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Machine Learning Engineering Manager

Wildlife Studios
São Paulo, São Paulo, Brazil
3 years ago
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About the Team

At the Machine Learning Engineering team we keep high international standards in terms of technology, development, and quality of service as in any Data-driven companies the primary source of innovation and operation is data itself. Here we have real technical challenges as we deal with an ever-growing quantity and variety of data from our games. We collaborate with Data Scientists and Data Engineers based on several locations worldwide with the same high professional standards and interests around ML challenges. We do have a place and structure to create the next generation of ML tools, practices, and products.

About the Role

Machine Learning workloads are growing consistently in importance at Wildlife. In this direction, the Machine Learning Engineering team is taking a leading role on projects that involve the challenging work of developing, deploying, serving and monitoring of AI services across the Globe and the continuous job of setting up a high-quality software development standard for ML projects.

The new Manager of the Team will directly enable and potentialize the efforts with the existing MLE members in their ambitious projects to build our reference AI framework dedicated to managing all ML development pipeline: from development and iterating to deployment, versioning, testing, and monitoring. From helping to structure our feature store to architect our AI microservices framework. This is a unique opportunity to join a fast-growing company with increasing needs for Machine Learning and AI workloads, huge datasets, and an ecosystem (Feature Store and AI microservices framework) in the decisive stages of their architecture and development.

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