Machine Learning Ops Engineer

Summary

Join dLocal, a global leader in payment processing for emerging markets, and become part of a dynamic, remote-first team. This Machine Learning Engineer role involves designing and building large-scale data processing architectures and workflows. You will architect and develop end-to-end machine learning solutions, manage the ML lifecycle, and collaborate with data scientists and engineers. The ideal candidate possesses a strong background in software engineering, machine learning, and relevant technologies. dLocal offers a comprehensive benefits package including remote work flexibility, learning and development opportunities, and a unique 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 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

• 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!