Наши требования
Strong background in building production-grade, distributed data systems for machine learning, with experience in
Orchestration: Slurm, Airflow, or Dagster
Observability & Reliability: CI/CD, Grafana, Prometheus, etc
Infra: Git, Docker, k8s, cloud managed services
Batch inference (ex: vLLM)
Performance obsession, especially with large-scale GPU clusters and distributed pipelines
Expert-level python knowledge and ability to write clean and maintainable code
Strong algorithmic foundations
Proficiency with libraries like Polars, Dask, or PySpark
Experience in building trillion-scale SOTA pretraining datasets
Experience translating research to production at scale
Experience with OCR, web crawling, or evals
Prior experience pre-training LLMs