ML Software Engineer I – Production Tooling & Libraries

Crowe

Hartford (CT)

On-site

USD 62,000 - 100,000

Full time

8 days ago

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Benefits offered by this job

Comprehensive total rewards package
Career growth

Job summary

Crowe is advancing its Data Science Toolkit, building generalizable tools for machine learning projects. You will work with the Data Science Team to identify opportunities, develop reusable libraries, and deploy ML models from prototype to production.

The role emphasizes autonomy, collaboration, and strong software engineering practices in a Linux/Docker environment. Ideal candidates will be proficient in Python, comfortable with RESTful APIs, and have experience with cloud computing and CI/CD.

Qualifications

  • Proficient in Python with experience building ML tooling.
  • Familiarity with Linux environments, Docker, and RESTful APIs.
  • Experience with cloud/CI‑CD and software engineering practices.
  • Strong communication and ability to work across teams.

Responsibilities

  • Define common problems and identify opportunities in the codebase to solve current and future challenges.
  • Develop libraries and services addressing common requirements for ML products.
  • Collaborate with data scientists to move models from prototype to production.
  • Champion the adoption of Toolkit libraries and services across projects.
  • Contribute to software engineering best practices with maintainable code and tests.

Skills

Python
Docker
Linux
RESTful APIs
CI/CD
Cloud computing
C/C++
Communication

Tools

REST APIs

Job description

Crowe is advancing its Data Science Toolkit, building generalizable tools for machine learning projects. You will work with the Data Science Team to identify opportunities, develop reusable libraries, and deploy ML models from prototype to production.

The role emphasizes autonomy, collaboration, and strong software engineering practices in a Linux/Docker environment. Ideal candidates will be proficient in Python, comfortable with RESTful APIs, and have experience with cloud computing and CI/CD.

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