About this opportunity
Equiforte lists this Senior ML Engineer opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
As a Senior ML Engineer at Equiforte, you will develop, train, and deploy the machine learning models that power automated financial reporting, data extraction, and analytics for private capital firms. This is not a generic ML role — you will work on domain‑specific models where precision matters above all else: extracting financial figures from unstructured documents, normalizing heterogeneous portfolio data, generating narrative performance commentary, and detecting anomalies in fund‑level financials.
What you'll do
Design and train ML and LLM‑based models for financial document extraction — capital call notices, fund administrator reports, portfolio company financials, and limited partnership agreements
Build and maintain the ML infrastructure that serves models in production with low latency and high reliability
Own the evaluation frameworks that measure model accuracy on financial extraction tasks, where correctness requirements far exceed general‑purpose benchmarks
Collaborate with Platform Engineers to integrate ML outputs into the core reporting pipeline
Research and adapt state‑of‑the‑art techniques in document understanding, information extraction, and generative AI to the private capital domain
Build the internal tooling that allows the team to iterate quickly on training data, evaluation, and model versions
This role reports to the VP of Engineering and works closely with the Platform Engineering and Product teams.
What We're Looking For
Requirements
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
Hands‑on experience building evaluation pipelines and managing training data quality
Familiarity with information extraction, named entity recognition, or structured prediction from unstructured text
Experience operating ML systems in production — monitoring, retraining, and versioning
Strong written communication skills for design documents and async technical discussion
Nice to Have
Experience in financial services, fintech, or fund administration
Familiarity with private capital concepts (NAV, waterfalls, capital calls, LP reporting)
Experience with RAG architectures and vector retrieval systems
Background in document AI, OCR pipelines, or PDF extraction
Experience at a high‑growth startup building ML systems from early stage
Contributions to open‑source ML projects or published research
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.