Machine Learning Engineer
Core
Build and deploy AI and machine learning solutions to automate business processes, improve decision-making, and create measurable value in a data-driven environment.
Role type
Machine Learning Engineer (Production/Deployment)
Builds
Production-grade ML/AI solutions, intelligent systems for document processing and automation, scalable APIs, and automated scoring pipelines.
Domain
Financial services / Lending / Credit risk / Fraud / Regulated industry
Deliverable
production ML models
Required skills
Python, SQL, REST API development, Git, Machine Learning model development and optimization, CI/CD practices, Automated testing
Preferred skills
MLOps tooling, Snowflake/Snowpark/dbt, Containerization, XGBoost/LightGBM, OCR/Document intelligence
Responsibilities
Design, build, deploy, and maintain ML/AI solutions in production; Develop intelligent systems for document processing, information extraction, forecasting, and classification; Transform data science models into scalable applications; Build and maintain APIs, pipelines, and automated scoring solutions; Implement CI/CD, testing, orchestration, and monitoring; Monitor model performance, data quality, and drift; Collaborate with engineering teams to integrate ML solutions; Define success metrics and evaluate business impact.
Seniority
Mid-Senior, hands-on IC