Senior Discipline Engineer
Core
Design and maintain optimal data pipeline architecture, build infrastructure for data extraction/transformation/loading, and support ML & CI/CD pipelines automation.
Role type
Senior IC data engineering and ML infrastructure engineer
Builds
Scalable data pipelines, data infrastructure, and ML/CI/CD automation systems
Domain
Automotive technology / Big Data / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Python, PyTorch, big data pipeline architecture, data set assembly and optimization, cloud automation (GCP/Azure/AWS), software design patterns, data structures, classification/regression/clustering/CNNs/RNNs
Preferred skills
Message queuing, stream processing, highly scalable big data stores, training and mentoring team members
Technologies
Python, PyTorch, GCP, Azure, AWS
Responsibilities
Create and maintain optimal data pipeline architecture; Build infrastructure for optimal extraction, transformation, and loading of data; Support robust ML & CI/CD pipelines automation; Work with stakeholders to assist with data-related technical issues; Build, grow and retain talent providing technical leadership
Seniority
Senior, hands-on IC with leadership responsibilities
