Machine Learning Engineer

Company overview

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise‑grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real‑world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.
Position overview:

We are looking for a Data Scientist or Machine Learning Engineer to join our client's global AI product support team. This scientist will play a critical role in the rollout of our global suite of AI products across consumer lending, business intelligence services, and the health product suite. This role will cover a wide range of responsibilities with plenty of variation from week to week.
Responsibilities will include, but are not limited to:
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

Client and user support
• 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

Testing and QA
• 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

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

Preferred qualifications
• Familiarity with credit risk assessment tools such as FICO Model Builder and SAS
• Understanding of the credit risk lifecycle from prospecting and acquisition to customer management and collections

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

Salary $5,200 – $5,500 USD monthly

Background checks may be required for certain positions/projects

Blue Orange Digital is an equal‑opportunity employer