ML Platform Engineer - End-to-End Pipelines (SF Onsite)
Lantern
San Francisco, CA, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Python (Programming Language)
Azure Machine Learning
Software Engineering
Google Cloud
Kubernetes
Requirements
The ideal candidate has 4-6 years of experience in ML or software engineering, strong Python skills, and experience with AWS or GCP, Airflow, Kubeflow, and real-world data.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.juju.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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