Data Engineer Lead for Machine Learning Deployments
hace 1 semana
About Nubank, a digital banking platform born in 2013, aims to empower customers by reinventing financial services. With operations across Brazil, Mexico, and Colombia, serving millions of users.
Our Data Science and Machine Learning TeamWe develop models and leverage expertise to provide the best experience and products, using statistics, Artificial Intelligence, and creativity to predict customer behaviors. Our team focuses on cutting-edge techniques, from Machine Learning to Reinforcement Learning.
The PositionThis is an individual contributor role as Senior Machine Learning Engineer. We seek someone with experience deploying Machine Learning models into production environments, running experiments, proficient in Data Engineering, and eager to maintain high technical standards.
- Productionalize and scale machine learning models that directly impact business outcomes.
- Design experiment implementation and integrate external data sources.
- Lead challenging machine learning engineering projects and expand team knowledge.
- Contribute to a technical culture and implement improvements in the way we work.
To thrive in this role:
- Strong coding skills in Python/Scala or equivalent languages.
- Understanding of engineering challenges in a production environment.
- Openness to learn new technologies like Clojure.
- Good understanding of model development and deployment pipelines.
- Experience with machine learning tools and libraries such as Scikit-learn, Mllib.
- Nice data handling skills and proficiency in Spark Data frames or SQL.
We offer:
- A chance to earn equity at Nubank.
- Extended maternity and paternity leaves.
- Health and life insurance.
- Mental health and wellness assistance program (NuCare).
- Learning platform (Nucleo) offering courses.
- Holiday bonus (Aguinaldo) of 30 days of pay per year.
- 17 days of paid vacation with 25% vacation bonus.
We strive for diversity and inclusivity, considering various identity markers as enriching elements. Our goal is to create a welcoming workplace reflecting our customers' diversity while ensuring no barriers exist for talented individuals.
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