Related skills
sql python tensorflow pytorch airflow๐ Description
- Design and deploy agentic AI workflows in production.
- Lead end-to-end ML solutions from framing to deployment.
- Collaborate with product, DS, ML eng, and platform teams.
- Decompose large problems into structured, iterative deliverables.
- Maintain code quality, docs, and reproducibility.
- Stay at the forefront of AI/ML and share best practices with the team.
๐ฏ Requirements
- Advanced degree in data science, statistics, math, CS, or related field.
- 6+ years of ML/AI with ownership of end-to-end DS solutions.
- Hands-on ML across supervised/unsupervised tasks.
- Ensemble/boosting methods (RF, XGBoost, LightGBM, CatBoost) and evaluation.
- DL, time series, recommendations; structured/unstructured data at scale.
- Experience deploying agentic/autonomous AI systems in production.
๐ Benefits
- Hybrid work model for in-person collaboration.
- Competitive total rewards with healthcare and flexible benefits.
- Diversity, equity, inclusion baked into our culture.
- Locations across regions; learn more about Toast locations.
- Benefits page: careers.toasttab.com/toast-benefits
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