Senior ML Engineer, Financial Document AI

Equiforte; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Equiforte, located in Chicago, is searching for a Senior ML Engineer to develop and deploy machine learning models for automated financial reporting and analytics. The role requires collaboration with Platform Engineers and focuses on domain-specific models.

The ideal candidate will have over 5 years of experience in ML engineering, strong Python skills, and a background in document understanding. This position offers a unique opportunity to contribute to the evolving field of financial technologies.

Qualifications

• 5+ years of professional ML engineering experience, including production model deployment.
• Strong proficiency in Python and modern ML frameworks (PyTorch or JAX preferred).
• Experience fine-tuning and deploying large language models or document understanding models.

Responsibilities

• Design and train ML and LLM-based models for financial document extraction.
• Build and maintain the ML infrastructure that serves models in production.
• Own the evaluation frameworks that measure model accuracy.

Skills

Machine Learning Engineering

Python

ML frameworks (PyTorch or JAX)

Document Understanding

Information Extraction

Job description

Equiforte, located in Chicago, is searching for a Senior ML Engineer to develop and deploy machine learning models for automated financial reporting and analytics. The role requires collaboration with Platform Engineers and focuses on domain-specific models.

The ideal candidate will have over 5 years of experience in ML engineering, strong Python skills, and a background in document understanding. This position offers a unique opportunity to contribute to the evolving field of financial technologies.