Related skills
javascript docker python kubernetes tensorflow📋 Description
- Deploy, manage & support ML apps and services on Kubernetes.
- Build scalable ML backends and pipelines with data/FE teams.
- End-to-end ownership from design to deployment and ownership.
- Collaborate with data scientists, data engineers and product teams.
- Work with Python, React, TypeScript and AI infra (vector DBs, Workers AI).
🎯 Requirements
- MS or PhD in CS, Statistics, Math or related field.
- 5+ years ML engineering in PB-scale distributed teams.
- Python with Scikit-Learn, PyTorch or TensorFlow.
- Docker and Kubernetes for deployment.
- ML platforms: AirFlow, Argo Workflows, ArgoCD.
- Full-stack: FastAPI, Streamlit, JavaScript, TypeScript.
- CI/CD, Git/Bitbucket and DevOps tooling.
- Databases: BigQuery, Postgres, SQLite; ETL/ELT.
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