Senior Machine Learning Ops Engineer

Summary

Join dLocal, a global payments company, and become part of a team that enables large companies to collect payments in emerging markets. This role focuses on designing and building large-scale architectures, workflows, and automation for data processing, applying machine learning engineering 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 expertise in Python, SQL, Spark, and cloud platforms like AWS and GCP. dLocal offers a remote-first, flexible work culture with various benefits including remote work options, flexible schedules, a referral bonus program, learning and development opportunities, language classes, and a social budget.

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 in some of the following tools or similar technologies: Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, Cloudformation
• 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

Experience in payments or other financial systems is a plus

Benefits

• Remote work: work from anywhere or one of our offices around the globe!*
• Flexibility: we have flexible schedules and we are driven by performance
• Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
• Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
• Learning & development: get access to a Premium Coursera subscription
• Language classes: we provide free English, Spanish, or Portuguese classes
• Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
• DLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!