Machine Learning Engineer

About the job

BSc in Computer Science or a similar field, with a very solid Python

programming experience. Scala is a plus

■ Familiarity with the engineering aspects of some of popular machine learning

practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap,

Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark,

MLlib, PyTorch, TensorFlow, and Scikit-learn among others);

■ Comfortable dealing with trade-offs project delivery and quality, especially

those involving latency, throughput, and transactions;

■ Experience Continuous Integration & Continuous Deployment processes and

platforms, software design patterns and APIs;

■ A person that enjoys staying on top of all the best practices and tools of

modern software engineering, while being a advocate of code quality and

continuous improvement;

■ Someone interested in large-scale systems and passionate about solving

complex problems while being open and comfortable with changes in the tech

stack the teams use;

■ Not afraid of failing, because we challenge assumptions and push boundaries

since we have a culture of experimentation and learning from our mistakes so

that we improve!