ML Data & Platform Engineer
Core
Own the infrastructure powering speech AI models, including data pipelines for sourcing/preparing training data and platforms for training, evaluating, and serving models in production.
Role type
ML Data & Platform Engineer
Builds
Scalable data pipelines, web scraping solutions, and production ML infrastructure for speech AI models
Domain
Speech AI / Machine Learning / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Docker, Kubernetes, cloud providers, data pipeline design, ETL/ELT, web scraping, distributed systems, MLOps, GPU optimization, observability
Preferred skills
None stated
Technologies
Python, SQL, Docker, Kubernetes, GPU
Responsibilities
Design and maintain scalable data pipelines for model training data; 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 distributed system issues; improve data and MLOps practices
Seniority
Mid-to-Senior, hands-on IC
