Our client, a hyper-growth AI platform, is looking to develop ML pipelines, infrastructure, and APIs to improve reliability and collaborate on AI use cases.
Requirements
- Strong Python engineering experience
- Familiarity with ML frameworks (PyTorch, TensorFlow)
- Cloud ML tooling (SageMaker, Vertex AI)
- Python engineering
- ML frameworks
- Cloud ML tooling
Responsibilities
- building production-ready ML APIs and pipelines
- scaling infrastructure for training and inference workloads
- collaborating with researchers on applied AI use cases
- improving the reliability and monitoring of ML services
Other
- Competitive salary + equity
- Remote-first global culture
- Annual stipend for professional growth
- Bachelor's degree (not explicitly mentioned but implied)
