PhD or Master's in Computer Science, Statistics, Engineering, or related field
5+ years as a Machine Learning Engineer or Data Scientist with strong solution delivery history
Deep expertise in ML algorithms and lifecycle management
Proficient in Python and related libraries/frameworks (e.g., Scikit-Learn, Pandas)
Strong interpersonal, written, and verbal communication skills
Experience with cloud providers (preferably AWS) and data services
Responsibilities
Collaborate with global teams to create impactful data products
Develop and maintain ML pipelines for optimizing global lending processes
Enhance scalable ML infrastructure for optimal data product performance
Mentor engineers and data scientists on ML engineering best practices
Lead data product development from ideation to large-scale deployment
Full Job Description
Job Description Responsibilities
Collaborate with global teams to deliver high-impact data products for worldwide deployment.
Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti-fraud systems, credit strategy, and marketing optimization.
Enhance and maintain scalable machine learning infrastructure to support robust data product performance.
Mentor engineers and data scientists on best practices in ML engineering, fostering a culture of excellence and knowledge sharing.
Lead data product development from ideation through to large-scale deployment, ensuring end-to-end execution.
Requirements Qualifications
PhD or Master's degree in Computer Science, Statistics, Engineering, or a related field.
5+ years of experience as a Machine Learning Engineer, Data Scientist, or in a closely related role, with a proven track record of delivering impactful solutions.
Deep expertise in machine learning algorithms, frameworks, and the full ML lifecycle, including data extraction, feature engineering, model serving, and monitoring for both live and batch processing.
Strong software design skills with high proficiency in Python and related libraries/frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI).
Excellent interpersonal skills, with strong written and verbal communication abilities.
Demonstrated experience with cloud providers (AWS preferred) and associated data services.
