Machine Learning Engineer I

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Bitso

πŸ“Remote

Summary

Join Bitso as a Junior Machine Learning Engineer and contribute to building and supporting advanced analytics products that benefit users across various teams. You will apply best software practices, bridge the gap between analytics concepts and software development, and develop machine learning models. As part of the MLOps team, you will contribute to best practices throughout the model lifecycle, including data use, feature definition, model documentation, serving architecture maintenance, CI/CD pipelines, and performance monitoring. You will collaborate with engineers to translate ML model requirements into scalable solutions, automate processes, and maintain model reliability. This role offers opportunities to learn and grow within a dynamic and innovative cryptocurrency platform.

Requirements

  • Have a degree in a quantitative field such as mathematics, computer science, data science, or engineering
  • Solid understanding of machine learning fundamentals, including common algorithms and concepts (e.g., supervised/unsupervised learning, regression, classification)
  • Experience in DevOps/MLOps and/or tools for automatization for CI/CD
  • Proficiency in SQL
  • Proficiency in Python and relevant ML libraries
  • Basic understanding of cloud computing concepts, preferably with AWS
  • Understanding of software engineering best practices, including version control (Git), code reviews and automatic testing
  • Understanding parallel programming techniques
  • Basic understanding on Data ingestion and Data Engineering techniques

Responsibilities

  • Collaborate with senior engineers to understand project requirements and design solutions, and with data scientists to understand model requirements and implementation details
  • Learn and help the design and development of CI/CD pipelines for ML models, ensuring reproducibility, scalability, and reliability
  • Assist on the creation and maintenance of model serving architectures
  • Learn and apply Infrastructure as Code (IaC) principles using Terraform to manage cloud resources
  • Learn to create libraries that enable efficient modeling processing at any stage of the model lifecycle
  • Participate in code reviews, testing, and documentation of ML pipelines
  • Research and stay up-to-date with the latest advancements in AI and machine learning
  • Troubleshoot and debug issues related to ML models and infrastructure

Preferred Qualifications

  • Experience in AWS Cloud Services is a plus
  • Experience with Terraform is a plus
  • Experience in Databricks and MLflow is a plus
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus
  • Experience with Spark is a plus

Benefits

  • Me Time program, including unlimited paid time off
  • Remote-first work environment
  • Employee Stock Option program
  • Zero trading fees through our Bitso Alpha app
  • Extended Family Leave Policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave
  • Premium health, dental and life insurances in Mexico, Gibraltar, Colombia, USA, Brazil and Argentina
  • Monthly stipend for gym memberships, relaxation activities, sports equipment, cooking classes, books, entertainment and more

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