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Senior Machine Learning Ops Engineer

dLocal enables global companies to collect payments in 40 emerging markets, serving as both a payments processor and merchant of record.
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
Finance · AI

Description For Senior Machine Learning Ops Engineer

dLocal, a leading fintech company enabling global payments in emerging markets, is seeking a Senior Machine Learning Ops Engineer to join their dynamic, remote-first team. This role offers an exciting opportunity to work with a diverse international team of 1000+ professionals from 30+ nationalities, making a direct impact on millions of people's daily lives.

As a Senior ML Ops Engineer, you'll be responsible for designing and implementing large-scale architectures, workflows, and automation for data processing and machine learning applications. You'll work at the intersection of ML engineering and business challenges, focusing on making tasks more efficient for data scientists while ensuring scalable solutions.

The ideal candidate brings strong technical expertise in Python, SQL, and Spark, along with experience in cloud platforms like AWS and GCP. You'll need to demonstrate proficiency in ML solution deployment and knowledge of modern tools like Docker, Git, FastAPI, and Airflow. The role requires both technical excellence and strong communication skills, as you'll be collaborating across teams and teaching others about your developments.

dLocal offers an attractive package including remote work flexibility, professional development opportunities through Coursera, language training, and unique perks like their dLocal Houses program for team coworking worldwide. Join a fast-growing fintech that processes payments across 40 countries and works with the world's biggest companies, while enjoying a culture that values work-life balance and continuous learning.

Last updated 13 days ago

Responsibilities For Senior Machine Learning Ops Engineer

  • 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

Requirements For Senior Machine Learning Ops Engineer

Python
  • 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 Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, Cloudformation or similar technologies
  • 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

Benefits For Senior Machine Learning Ops Engineer

Medical Insurance
Education Budget
  • Remote work flexibility
  • Flexible schedules
  • Premium Coursera subscription
  • Language classes (English, Spanish, or Portuguese)
  • Social budget for team activities
  • dLocal Houses - coworking houses worldwide
  • Referral bonus program
  • Health benefits
  • Learning and development opportunities

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