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Location

Cupertino, CA | United States

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Job description

Job Title: Machine Learning Engineer/AI
Location: San Francisco or Cupertino CA - 3 days per week Hybrid Role in San Francisco or Cupertino Office
Duration: 6 Months Contract with Possible ext.

JD:

What skills/technologies are required (please include the number of years of experience required)?

• MLOps / Client Engineering => 8/10 => 6 to 8 experience
• Platform Development / MicroServices / Arch => 7/10 => 8 to 10 experience
• Docker/Containers/Kubernetes => 6/10 => 5 to 6 experience
• Data Science / Machine Learning => 5/10 => 5 to 6 experience
• Azure Highly preferred to have the experience => 6 to 8 experience
• Python must have => 8 to 10 experience
• Spark- Required => 4 to 5 experience
• Client tools experience such as AzureML/MLFlow/Databricks/Kubeflow etc. - Deployed & worked on some of these tools

Kubernetes Very Strong and #1 4 to 5 years
Data Pipelines ETL Preferred Bring data to send back to other team
Understanding of Python is good and will code in Python Not working on API's
Good Understanding of Machine Learning Pipelines
Argo WorkFlow Experience
Docker and Jenkins Needed
Workflow Experience Needed



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• Dice Id: 91132378
• Position Id: 2024-6387

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Salary