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Senior Software Engineer (Machine Learning)

Valor Equity Partners

New This Week
ML EngineeringPrivate EquitySenior (6-10 yrs)On-sitePE / VC Firm

Build production ML systems that drive proprietary investment insights at a private equity firm β€” a rare opportunity to apply engineering skills directly to PE deal-making.

AI β†’ Finance

Location

Chicago, IL

Posted

Mar 28, 2026

Insider Signals

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⚑Growing AI Team

Valor Equity Partners is in the growing stage of its AI organization. Great time to join.

πŸ“ŠActive Hiring

Valor Equity Partners has had 5 hiring events in the last 30 days β€” they're actively building.

Company AI Context

AI Maturity

growing

Tech Stack

pythonpytorchscikit-learndockerkubernetesmlflow

Valor Equity Partners is a different kind of private investment firm.

## About the Role Valor Equity Partners is a different kind of private investment firm. On the Valor Labs Team, they develop cutting-edge machine learning models to derive proprietary investment insights. This role involves designing, deploying, and maintaining production-ready ML systems that power the firm's investment process. ## Responsibilities - Develop and deploy production-ready machine learning systems - Translate complex project requirements into actionable technical solutions - Own end-to-end ML operations: model deployment, monitoring, and retraining - Collaborate with investment professionals to build data-driven tools - Maintain and improve ML infrastructure and pipelines ## Requirements - B.S. in Computer Science or related field - 5+ years developing production-ready software systems - Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining - Proficiency with Python ML libraries (NumPy, Pandas, Scikit-Learn, PyTorch) - Experience with Docker, Kubernetes, Terraform, and Google Cloud Platform - Familiarity with data tools: Airflow, Prefect, dbt, Spark

Skills & Technologies

PythonPyTorchscikit-learnDockerKubernetesMLFlowSQLGCPAirflow

Best Backgrounds

  • machine learning engineering
  • software engineering
  • data engineering
  • applied mathematics

Related Titles to Explore

  • ML Engineer
  • Applied Scientist
  • ML Platform Engineer
  • AI Engineer

Career Bridge Playbook

Beta

Career paths into this role

software engineer
data engineer
data scientist
research scientist

Where this role leads

ML lead
head of AI
principal engineer
AI research scientist

Transition Difficulty

high

Key Skill Gaps to Close

  • financial domain knowledge
  • regulatory awareness
  • model risk management

Skills used in this role

Technical

pythonpytorchscikit-learndockerkubernetesmlflowsqlgcpairflow

Domain

model-developmentfeature-engineeringmodel-deploymentrisk-modeling

Soft Skills

cross-functional-collaborationtechnical-communicationproblem-solving

Interested in this role?

Apply directly on the company's career page.

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