Blue Orange Digital logo
Blue Orange Digital

Your strategic data partner.

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200Since 2015H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

62 days ago

Salary

$5.2K - $5.5K / month

Seniority

Senior

Bachelor Degree5 yrs expExperience acceptedEnglishETLPythonPyTorchScikit-LearnSparkSQLTensorflow

Job Description

Machine Learning Engineer

Blue Orange Digital

• Product development • Prototype new modeling methodologies for incorporation into our global suite • Work directly with our ML engineering team to identify issues and guide them on requirements • Write data pipelines and ETL for non‑standard or new modeling use cases • Build new dashboards and reports to provide insights to clients on model performance and impact, leveraging our proprietary BI toolkit • Help document methodologies, tool usage, and business logic • Support client implementation teams executing complex modeling tasks on our enterprise ML ops platform • Perform complex or custom data engineering where needed to support strategic clients • Train ML models for underwriting, targeting, and other applications where needed • Test new product features and algorithms, and verify accurate implementation ahead of live release to our global client base • Implement bug fixes and upgrades to Experian methodologies in credit‑related business logic, including Bureau Inferencing modifications

Job Requirements

  • Highly proficient in writing data processing code with at least one SQL dialect, Spark SQL experience desirable but not required
  • Comfortable using Python and Jupyter notebooks with common open‑source ML libraries such as MLlib, PyTorch, sklearn, and TensorFlow
  • Understanding of credit risk modeling fundamentals
  • Strong communication skills with both business and technical audiences
  • Strong data visualization skills
  • Self‑starter with a growth mindset
  • Experience in modeling or data engineering within a Credit Risk institution, typically three to five years at a major bank, FinTech, or financial institution
  • Five to seven years of total industry experience in analytics, data science, or data engineering
  • Bachelor’s degree required; Master’s degree preferred

Benefits

  • Fully remote
  • Flexible schedule
  • Paid parental and bereavement leave
  • Worldwide recognized clients to build skills for an excellent resume
  • Top‑notch team to learn and grow with

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