Score GitHub Candidates for an ML/Python Role

Created by

Fredrik Hansson

Actor

GitHub Candidate Scorer

Rank machine-learning engineers against a Python/ML job spec using their real repos and contributions. For AI teams sourcing talent on GitHub.

Try for free

GitHub Candidate Scorerfuze/github-candidate-scorer

Score

User

Name

Seniority

+7 fields

Input

Job description(required):Machine Learning Engineer. Strong Python, PyTorch or TensorFlow, model training and deployment, and data pipelines. Bonus: LLM fine-tuning.

Output fields

Score

User

Name

Seniority

Languages

Why

Strengths

Gaps

Location

GitHub

How it works

Sign up on Apify or log in

The GitHub Candidate Scorer Actor is ready to run with the inputs already set for "Score GitHub Candidates for an ML/Python Role". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Score GitHub Candidates for an ML/Python Role" task

The GitHub Candidate Scorer Actor will start running based on the input automatically. You can also change all the input fields, like job description, to match your specific use case.

Receive the "Score GitHub Candidates for an ML/Python Role" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as score, user, name, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Score GitHub Candidates for an ML/Python Role" task via API.