Remote ML Ops Engineer

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Description:

  • dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets.
  • Global brands rely on dLocal to increase conversion rates and simplify payment expansion effortlessly.
  • The company acts as both a payments processor and a merchant of record where it operates.
  • By joining dLocal, you will be part of an amazing global team in a flexible, remote-first dynamic culture.
  • The role involves designing and building large scale architectures, workflows, tools, and automation for processing data.
  • You will apply machine learning engineering to solve global business challenges with a focus on making tasks easier for data scientists.
  • Responsibilities include architecting and developing end-to-end machine learning solutions, managing and automating the machine learning lifecycle, and collaborating with data engineers and data scientists to create highly scalable solutions.
  • You will work on cloud solutions, evaluate the performance and cost of potential architectures, and understand the software development life cycle to integrate solutions with other technical areas.
  • The role also requires interacting with other teams to understand business challenges and propose solutions, as well as communicating and teaching how to use the developments.

Requirements:

  • A Bachelor’s degree in software engineering/computer science or proven experience in data engineering or machine learning roles is required.
  • Proven experience implementing and deploying machine learning solutions is necessary.
  • Advanced knowledge of Python, SQL, and Spark is essential.
  • Familiarity with tools or similar technologies such as Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, and Airflow is required.
  • Knowledge of data architectures and systems integration is important.
  • The ability to solve complex software system issues is necessary.
  • Experience with cloud platforms like AWS and GCP is required.
  • Experience in payments or other financial systems is a plus.
  • A team player who can effectively participate as an effective team member is essential.
  • A curious profile, self-learner, and positive attitude are important traits.
  • Good communication skills are required.

Benefits:

  • dLocal offers a flexible, remote-first dynamic culture with travel, health, and learning benefits.
  • You will be part of a global team with 900+ teammates from 25+ different nationalities.
  • The opportunity to develop an international career that impacts millions of people’s daily lives is provided.
  • The company fosters a culture of building and facing challenges head-on, emphasizing customer-centric values.
Apply now
Please, let dLocal know you found this job on RemoteYeah . This helps us grow 🌱.
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