onsite
Senior ML Platform Engineer Autonomous Driving - 42dot
Devops Engineer
Lead the design and implementation of a scalable data and ML training platform for autonomous driving, driving efficiency across training, evaluation, deployment, and monitoring in cloud environments.
About the role
Key Responsibilities
- Architect and build a high‑scale, reliable data platform to ingest, store, and serve millions of autonomous driving scenes.
- Develop high‑performance SDKs for ML model training and evaluation, ensuring low latency and high throughput.
- Define and enforce technical strategy, guiding the team on best practices for distributed systems and cloud deployment.
- Collaborate with data scientists and software engineers to streamline the ML model development lifecycle.
- Implement monitoring, logging, and alerting to maintain platform health and performance.
Requirements
- 5+ years of experience building large‑scale data platforms and ML pipelines.
- Proficiency in Python and C++ with a strong grasp of distributed computing concepts.
- Hands‑on experience with AWS services (S3, EC2, ECS/EKS, Lambda, etc.).
- Solid understanding of data engineering, ETL, and real‑time data streaming.
- Excellent problem‑solving skills and a passion for autonomous driving technologies.
Skills
pythoncawsmachine learning