onsite
Finance Systems & AI Engineer - Ironclad
AI Engineer
Develop and maintain AI-driven finance platforms, integrating data pipelines, cloud services, and machine‑learning models to automate financial reporting and analysis.
About the role
Key Responsibilities
- Design, build, and optimize end‑to‑end data pipelines that ingest, transform, and store financial data from multiple sources.
- Develop and deploy machine‑learning models to automate forecasting, anomaly detection, and expense categorization.
- Implement and maintain cloud infrastructure on AWS, ensuring scalability, security, and cost efficiency for finance applications.
- Collaborate with finance analysts and product teams to translate business requirements into technical solutions.
- Monitor system performance, troubleshoot issues, and continuously improve data quality and model accuracy.
Requirements
- 5+ years of experience in software engineering or data engineering, with a focus on finance‑related systems.
- Proficiency in Python and SQL for data manipulation, analysis, and model development.
- Hands‑on experience with AWS services (e.g., S3, Lambda, Redshift, SageMaker) and infrastructure‑as‑code tools.
- Strong background in machine‑learning techniques, model training, and deployment pipelines.
- Excellent problem‑solving skills and ability to work cross‑functionally with finance and product stakeholders.
Skills
pythonsqlawsmachine learning