ML Data & Platform Engineer
Core
Own the infrastructure powering speech AI models, including data pipelines for training data and the platform for training, evaluation, and production serving.
Role type
ML Data & Platform Engineer
Builds
Scalable data pipelines, data acquisition solutions, and MLOps infrastructure for speech AI models
Domain
Speech AI, Data Infrastructure, Distributed Systems
Deliverable
infrastructure
Required skills
Python, SQL, Docker, Kubernetes, Cloud providers, Data pipelines, ETL/ELT, Web scraping, MLOps, GPU optimization, Observability, Distributed systems
Preferred skills
None stated
Technologies
Python, SQL, Docker, Kubernetes, Cloud providers, GPU
Responsibilities
Design and maintain scalable data pipelines for ingesting and transforming training datasets; Develop web scraping and data acquisition solutions; Build and operate infrastructure for model deployment and evaluation; Optimize infrastructure for iteration speed and production reliability; Implement observability across data pipelines and ML systems; Troubleshoot complex issues in distributed systems; Improve data and MLOps practices
Seniority
Mid-level, hands-on IC