Backend, data engineering or machine learning: tell ViewSkill what the Python role needs and get a ranked list of developers who have built exactly that, each with the evidence behind the ranking.
Why Python CVs don't tell you enough
Python covers very different jobs. A data scientist, a Django web developer and an ML engineer all list Python on their CV, and a keyword search can't tell them apart. The repositories can.
ViewSkill reads which libraries a developer actually uses (Django, FastAPI, pandas, PyTorch), how the projects are packaged and tested, and how recently they shipped, then ranks candidates against the role you described.
What a strong Python profile shows
The right part of the ecosystem
Web frameworks for backend roles, pandas and SQL for data roles, PyTorch or Hugging Face for ML. ViewSkill matches the role, not just the language.
Packaging and typing
pyproject files, type hints and a clean module layout point to someone who writes maintainable code.
Tests and CI
pytest suites and GitHub Actions workflows show the developer ships code that keeps working.
Projects with users
Libraries on PyPI or repos other people star and fork are strong outside proof of quality.
How to hire Python developers with ViewSkill
- 01
Describe the role
Write what you need in plain English: stack, seniority, location. No boolean strings.
- 02
Get a ranked shortlist
In under two minutes, each developer has a 0 to 100 score, verified skills and a one-line reason.
- 03
Reach out or test
Find their public contact, send a personal message, or a take-home test graded automatically.
Questions
How does ViewSkill check a Python developer's skills?
Do I need to be technical to hire a Python developer this way?
What about developers whose best work is private?
How much does it cost?
Find your shortlist now
First search free. No credit card.