Machine learning Engineer
Core
Build production-grade machine learning and AI solutions for a FinTech to automate processes, enhance customer experiences, and support critical business decisions.
Role type
Machine Learning Engineer (Production/MLOps)
Builds
Scalable ML systems, document intelligence/extraction pipelines, batch/real-time scoring APIs, and modular Python services.
Domain
Financial Technology (FinTech), Document Intelligence, MLOps
Required skills
Python, SQL, Snowflake/Snowpark, dbt, XGBoost/LightGBM, REST APIs, Docker, CI/CD, MLOps tooling
Preferred skills
Financial services domain experience, experiment tracking, workflow orchestration, OCR/semi-structured data extraction
Technologies
Python, SQL, Snowflake, dbt, XGBoost, LightGBM, Docker, Streamlit
Responsibilities
Deploy ML/AI solutions to production; develop document intelligence and information extraction systems; convert analytical models to robust Python applications; build batch, real-time, and event-driven scoring solutions; implement MLOps best practices (CI/CD, testing, monitoring); monitor model performance and drift.
Seniority
Mid-Senior, hands-on IC