Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Senior MLOps Engineer at dLocal building and operating ML and AI platform. Focus on Feature Store and automation in MLOps workflows.
Responsibilities
- As a Senior MLOps Engineer at dLocal, you will be a key individual contributor in the team that builds and operates our ML and AI platform, with a strong focus on Feature Store and MLOps workflows.
- You will implement and evolve the components that Data Science and AI teams use every day to take models and AI‑powered services from idea to production: feature pipelines, training and deployment workflows, observability and automation.
- A core part of this role is to use agents and AI services to automate as much as possible of what we do in MLOps — from feature store and platform operations to fraud/anomaly workflows and ML cost optimization — working side by side with the AI Team and the MLOps Technical Referent.
Requirements
- Solid experience as a **Senior Engineer** working on:
- MLOps, data platforms, or large‑scale backend / distributed systems.
- Hands‑on experience with **big data / streaming** technologies (e.g. Spark, Flink, Kafka, Kinesis, or similar).
- Proven track record building **production‑grade ML pipelines**:
- Experiment tracking and reproducible training flows.
- CI/CD for models and data pipelines.
- Online and batch inference at scale.
- Familiarity with **cloud‑based ML platforms** and containerized deployments (e.g. Databricks, SageMaker, Vertex AI, or equivalent).
- Strong understanding of **observability**:
- Metrics, logs and traces.
- Data and model drift, freshness and quality checks.
- Ability to write clean, maintainable code and collaborate through reviews, design docs and pairing sessions.
- Comfortable communicating with **Data Scientists, ML Engineers and Infra/SRE**, translating requirements into concrete technical solutions.
Benefits
- 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!
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