Ml Ops Engineer

Summary

Join dLocal, a global payments company, and become part of a dynamic, remote-first team. This role focuses on designing and building large-scale machine learning architectures and workflows to solve global business challenges. You will architect and develop end-to-end machine learning solutions, manage and automate the machine learning lifecycle, and collaborate with data engineers and scientists. The position requires a Bachelor's degree in a relevant field or equivalent experience, proven experience in implementing and deploying machine learning solutions, and advanced knowledge of Python, SQL, and Spark. dLocal offers a flexible, remote-first culture with travel, health, and learning benefits.

Requirements

• Bachelor’s degree in software engineering/computer science or proven experience in data engineering or machine learning roles
• Proven experience implementing and deploying machine learning solutions
• Advanced knowledge of Python, SQL and Spark
• Knowledge of data architectures and systems integration
• Ability to solve complex software system issues
• Experience with cloud platforms like AWS and GCP
• Team player – can effectively participate as an effective team member
• Curious profile, self learner and positive attitude
• Good communication skills

Responsibilities

• Architect and develop end to end machine learning solutions
• Manage and automate machine learning lifecycle
• Collaborate with data engineers and data scientists to create highly scalable solutions
• Work on cloud solutions, evaluating the performance and cost of potential architectures
• Understand the software development life cycle to collaborate and integrate solutions with other technical areas
• Interact with other teams to understand business challenges and propose solutions
• Communicate and teach on how to use the developments

Preferred Qualifications

• Knowledge in some of the following tools or similar technologies: Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, Cloudformation
• Experience in payments or other financial systems is a plus

Benefits

Flexible, remote-first dynamic culture with travel, health, and learning benefits