Senior Machine Learning Ops Engineer

dLocal; España; A distancia; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A global payment solutions company in Spain seeks a Machine Learning Engineer to design and build large-scale architectures for data processing. The role includes collaborating with data scientists and engineers, managing ML lifecycles, and automating solutions. The ideal candidate will have a strong background in Python and cloud platforms like AWS or GCP. This position offers remote work, flexible schedules, and opportunities for learning and development.

Servicios

Flexible schedules

Premium Coursera subscription

Free language classes

Social budget

dLocal Houses for remote coworking

Formación

• Proven experience implementing and deploying machine learning solutions.
• Knowledge of data architectures and systems integration.
• Experience with cloud platforms like AWS and GCP.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Spark

Docker

Git

Bash Scripting

FastAPI

Sagemaker Studio

Airflow

Cloudformation

Educación

Bachelor’s degree in software engineering/computer science

Descripción del empleo

Why should you join dLocal?

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!