Machine learning Engineer
Core
Build production-grade machine learning and AI solutions for a FinTech client to automate processes and drive smarter decisions.
Role type
Machine Learning Engineer (Production/MLOps)
Builds
Scalable ML systems, document intelligence/extraction pipelines, and real-time scoring APIs for a FinTech client.
Domain
Financial Technology (FinTech), Document Intelligence, MLOps
Deliverable
production ML models | product features
Required skills
Python, SQL, Snowflake/Snowpark, dbt, XGBoost/LightGBM, REST APIs, Docker, CI/CD, MLOps Tooling
Preferred skills
Financial Services domain experience, MLOps platforms, experiment tracking, workflow orchestration, model monitoring, document processing/OCR
Technologies
Python, SQL, Snowflake, Snowpark, dbt, XGBoost, LightGBM, Docker, Streamlit
Responsibilities
Deploy ML/AI solutions into scalable production environments; Develop and maintain document intelligence and information extraction systems using OCR and AI-assisted workflows; Convert analytical models and prototypes into robust, modular Python applications and services; Build batch, real-time, and event-driven scoring solutions and APIs; Implement MLOps best practices including CI/CD, testing, version control, monitoring, and orchestration; Monitor model performance, model drift, system reliability, and infrastructure costs.
Seniority
Mid-Senior, hands-on IC