Building a web application that allows data scientists to orchestrate and monitor different types of experiments, end-to-end across the breadth of client’s machine learning projects. The service maintains a single source of truth on the experiments and integrates with external systems that will orchestrate the experiments.
In scope: experiment design, group selection, visibility, tracking, evaluation.
Tech Stack:
Github Actions, Kubernetes, PostgreSQL
Python, FastAPI, uvicorn, pandas, SQLAlchemy
responsibilities :
Github Actions, Kubernetes, PostgreSQL
Python, FastAPI, uvicorn, pandas, SQLAlchemy
Building a web application in an organization without any prior operational experience in this area, using Python – which is not well supported in the client’s ecosystem.
Non-trivial use-cases on the edge between Python back-end engineering and data science.
Integration with multiple external orchestration setups owned by teams with conflicting ideas for the integration with the service.
requirements-expected :
3+ years as Backend or Fullstack Engineer
Advanced Python and FastAPI skills
Experience with PostgreSQL and GitHub Actions
Interest in designing and scaling web services
B2+ English proficiency (spoken and written)
Availability to work from our client’s office based in Kraków from time to time
offered :
Building tech community
Flexible hybrid work model
Home office reimbursement
Language lessons
MyBenefit points
Private healthcare
Training Package
Virtusity / in-house training
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
