Machine Learning Engineer
Core
Designing and implementing AI/Machine Learning services and platforms to enable AI for everyone.
Role type
Machine Learning Engineer (Platform/Infrastructure)
Builds
Machine learning workflow orchestration systems, SDKs for engineers, and tools for AI solution development.
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, distributed systems, cloud services (AWS/Azure/GCP), machine learning principles, containerization (Docker/Kubernetes)
Preferred skills
ML infrastructure developments
Responsibilities
Design and implement systems orchestrating machine learning workflows; Build SDKs to enable engineers using the platform; Build tools to enable AI engineers to develop new solutions; Explore ideas for practical and reliable models for data label quality.
