ML Infrastructure Engineer GCP

Overview

Job Title: ML Infrastructure Engineer with GCP

Location: Mountain View, CA — Onsite for 1 week once in a quarter at candidate's expense

Job Type: W2

Duration: Long Term

Note: Only PST and MST candidates are required.

• Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.
• Proficiency in programming languages Python, Java.
• Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.
• Familiarity with machine learning frameworks (e.g., Tensor Flow, PyTorch) and libraries (e.g., scikit-learn).
• Knowledge of Dev Ops principles and tools (e.g., CI/CD pipelines, Terraform).
• Strong understanding of containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving and communication skills.

• Must have:
• Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.
• Proficiency in Python and Java.
• Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.
• Familiarity with machine learning frameworks (Tensor Flow, PyTorch) and libraries (scikit-learn).
• Knowledge of Dev Ops principles and tools (CI/CD pipelines, Terraform).
• Strong understanding of containerization technologies (Docker, Kubernetes).
• Excellent problem-solving and communication skills.
• Preferred:
  Experience with big data technologies such as Apache Spark or Hadoop.

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