Senior Software Engineer (Machine Learning)

Valor Equity PartnersChicago, IL

About The Position

As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and stakeholders, you will translate complex project requirements into actionable technical solutions and work collaboratively to build, deploy, monitor, and maintain those solutions in production. Your technical expertise and commitment to excellence will help drive the adoption of best practices and ensure the highest level of rigor in everything we do.

Requirements

  • B.S. in Computer Science or related field
  • 5+ years of experience developing production-ready software systems
  • Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
  • Proficient with Python, especially machine learning libraries like NumPy, Pandas, Scikit-Learn, and PyTorch
  • Proficient with SQL, including transactional (e.g., PostgreSQL) and analytical (e.g., BigQuery) databases
  • Professional experience with most, if not all, of the following: Containerization (e.g., Kubernetes and Docker), Data processing (e.g., Prefect, Airflow, and dbt), Parallel processing (e.g., Ray, Dask, and Spark), Cloud infrastructure (e.g., Google Cloud Platform), Continuous integration/continuous deployment (e.g. GitHub Actions), Infrastructure as code (e.g., Terraform), Tools to support machine learning operations (e.g., MLFlow and DVC)
  • Humble, hard-working, and collaborative

Nice To Haves

  • Prior work experience in financial services is highly valued

Responsibilities

  • Contribute directly to the development of high-impact products.
  • Translate complex project requirements into actionable technical solutions.
  • Work collaboratively to build, deploy, monitor, and maintain solutions in production.
  • Drive the adoption of best practices.
  • Ensure the highest level of rigor in all work.
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