ML Engineer, Cloud Platform
Core
Design, build, and scale core cloud infrastructure and production-grade APIs to serve and fine-tune tabular foundation models.
Role type
Senior IC Cloud Platform ML Engineer
Builds
Scalable backend systems, production APIs, and cloud infrastructure for state-of-the-art AI models
Domain
Cloud Infrastructure / Machine Learning / Tabular Data
Deliverable
production ML models
Required skills
Cloud engineering, data platform management, SRE, Infrastructure as Code (Terraform), containerization (Docker, Kubernetes), Python, data modeling, storage, and processing technologies
Preferred skills
MLOps, model serving frameworks, feature stores, data pipelines, modern data warehousing (Databricks, Snowflake, BigQuery), open-source contributions
Technologies
Python, FastAPI, Terraform, Docker, Kubernetes, Databricks, Snowflake, BigQuery
Responsibilities
Architect robust, scalable, and secure backend systems and production-grade APIs; Develop high-quality, maintainable code for core backend services; Design, deploy, and manage core infrastructure on cloud platforms; Implement secure, GDPR-compliant systems including data storage and access control; Drive high standards for testing, CI/CD, documentation, and security
Seniority
Senior, hands-on IC