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Upstream Global Services Logo
ML Engineer

Upstream Global Services

 

Santa Clara, CA, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Remote
Openings: 1
Category: ML Engineer
Tenure: No Preference/Any
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Description

You will design, develop, and deploy machine learning models and MLOps pipelines while managing cloud infrastructure on Azure or AWS.

Responsibilities

  • Design and deploy scalable machine learning models and MLOps pipelines.
  • Implement CI/CD processes for ML models to ensure seamless integration and delivery.
  • Manage cloud infrastructure on Azure or AWS to guarantee scalability and performance.
  • Collaborate with data scientists and DevOps teams to optimize ML workflows.
  • Contribute to Generative AI (GenAI) projects as required.

Required Skills

  • 5+ years of experience in machine learning engineering.
  • Hands-on experience with Azure cloud services.
  • Hands-on experience with AWS cloud services.
  • Proven experience implementing CI/CD pipelines for ML workflows.
  • Practical experience with Generative AI technologies.
  • Degree in any field (Any Graduate).

Education

Any Graduate

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