Job Description
We are one of the largest private banks in Brazil, according to the Central Bank ranking. And we are very proud to say that, for the second year in a row, we were recognized as the best financial institution to work for in Brazil, according to the GPTW 2025 ranking! We also received the Diversity seal in the Women category, reinforcing our commitment to equity. Our culture really happens: being simple, correct, partners and courageous. We value relationships, innovation and a light environment, increasingly collaborative and with intentionality in advancing diversity and inclusion. We are constantly evolving and build successful #partnerships to deliver our purpose of making the financial lives of people and companies easier. Did you identify? So come work with us!
Take a look at the challenges that await you: We are looking for a Senior Machine Learning Engineer to work on the evolution of our Machine Learning platform and ensure that the models used in different areas of the bank operate with high quality, governance and scalability; efficient;Analysis of the quality of implementation code;Being a reference point for platforms used internally. So, did you identify yourself? Now we would like to know if you have the profile and knowledge below: Solid experience in ML engineering, MLOps or Data Engineering applied to models in production; Strong command of Python and ML/data science libraries; Experience with distributed platforms, preferably Databricks/Spark.
Diversity and inclusion BV intentionally works to accelerate equity and representation in the financial market, respecting and supporting diversity in all its plurality and intersectionality, ensuring positive social transformation. Therefore, we invite black people, women, professionals with disabilities, the LGBTQIA+ community and people of any age to get to know us a little more and apply for this vacancy. Please mention the word **PROSPEROUS** and tag RNzcuNzYuMTQuMTA1 when applying to show you read the job post completely (#RNzcuNzYuMTQuMTA1). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.