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
Scalable, production-ready AI solutions, APIs, pipelines, and automated scoring services for document processing, information extraction, forecasting, and classification.
Domain
Financial services / Lending / Credit risk / Fraud / Regulated industry
Deliverable
production ML models
Required skills
Python, SQL, REST API development, Machine learning model development and optimization, CI/CD practices, Automated testing, Git version control, Large-scale data handling
Preferred skills
MLOps tooling, Snowflake/Snowpark/dbt, Containerization, XGBoost/LightGBM, OCR/Document intelligence
Responsibilities
Design, build, deploy, and maintain ML solutions in production; Transform data science prototypes into scalable applications; Build and maintain APIs and pipelines; Implement CI/CD, testing, and monitoring; Monitor model performance and data quality; Integrate ML solutions into business systems; Define success metrics and evaluate business impact.
Seniority
Mid-Senior, hands-on IC