Senior Machine Learning Ops Engineer

Job description

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dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets.

Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly.

As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others.

Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives.

We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What’s the opportunity?

Design and build large scale architectures, workflows, tools and automation for processing data and apply machine learning engineering to solve global business challenges with focus on making tasks easier for data scientists.

What will I be doing?

• 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

What skills do I need?

• 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
• Experience in payments or other financial systems is a plus
• Team player – can effectively participate as an effective team member
• Curious profile, self learner and positive attitude
• Good communication skills

What do we offer?

• 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!
• For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us.

We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology

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