Hiring Machine Learning Engineer (MLOps) | Belvo

Machine Learning Engineer (Mlops)

Belvo

Date listed

4 weeks ago

Employment Type

Full time

Remote

Yes

Employees

11-50

Total Funding

$68.4 billion

  A little bit about us:

We are Belvo, a financial API platform with the bold vision of democratizing access to financial services in Latin America. We enable any company or developer to access and interpret their end-users’ financial information. We are turning the rich and diverse Latin American financial ecosystem into a set of developer-friendly tools and APIs.

We’re a highly-technical, passionate and driven team. We are more than 100 people, our team currently represents 26 nationalities and we have offices in Barcelona, Mexico City, and São Paulo - while a large portion of us works remotely.

We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way.

Since starting our adventure in May 2019, we have raised $56m from the leading VC investors globally.

You can read more about our company here and about our team and culture here. Also, head to our blog for more news about our growth and how we have fun together.

About the team:

  • We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack. 

  • Our products are built for developers, by developers. Technological excellence is at the heart of what we do.  

  • We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback. 

  • We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals.

  • We are a flexible international team focused on creating cool stuff. Some of us prefer to work together in one of our offices and others prefer remote. For us, there's no difference as long as you have an excellent internet connection and are able to overlap with the team between 3 pm and 6 pm, CEST timezone. 

  • Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator.

Your Opportunity:

  • Communicate with data scientists to understand the frameworks and models built

  • Develop and deploy scalable tools and services to enable machine learning training and inference by the data scientists

  • NOT take offline models data scientists build and turn them into a real machine learning production system

  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems

  • Collaborate with the data team in the design of the data pipelines and engineering infrastructure to support our machine learning systems

  • Facilitate the development and deployment of proof-of-concept machine learning systems

This position may be for you if:

  • You understand the tools used by data scientists

  • You have a strong background in software development

  • You have built MLOps pipelines before

  • You apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.

  • You have strong communication skills and can easily communicate with backend engineers, ML engineers, and business stakeholders

Amazing if:

  • Experience building machine learning models

  • Experience with Docker and ECS

  • Experience in using popular MLOps frameworks like DVC, MLFlow, …

  • Experience with AWS ecosystem

  • Knowledge of frameworks such as Keras, PyTorch, Tensorflow

  • Experience with Amazon’s Sage Maker

Our tech stack:

  • We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability

  • We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack

  • We use Javascript, Vue.js, and Sass on the frontend. We are developing and leveraging our own design system and component library

  • We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems

  • We observe and monitor our services using Datadog

  • We follow Continuous Integration and Continuous Delivery best practices

Our process steps:

At Belvo every hire is so important to us, that we share the decision to hire as a team.

  • People team chat

  • Take-home challenge

  • Challenge presentation

  • Team fit chat

  • Meet the founders

Our perks:

🚀 Stock options (we are all owners and this is very important to us)

📈 Annual company bonus

🔆 Flexible working hours

🔝 Remote friendly

🐶 Pet friendly

🧘🏾‍♀️ Access to mental health service

👩🏻‍⚕️ Health Insurance

🎊 Paid time off on your birthday

🌎 Work from any office twice per year

💻 Renew your laptop every 3 years

🙋 Training Budget

😎 Team-building events

🙀 Bank holidays swap inside the same month

🔋 Fitness/ wellness stipends

🚀 Yearly offsite

🍒 Fresh fruit every week, all-you-can-drink tea and coffee

🏝 1 week off on your 2-year anniversary

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