San Francisco, CA30+ days ago
Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. 4+ years of hands-on experience in machine learning, applied ML engineering, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.