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We are hiring a Machine Learning Infrastructure Engineer to join our Engineering team. Applicant should have at least 9+ years of professional experience in experience with Google cloud platform. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform). Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).
Experience Required: Minimum 9+ years
Description:Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.Proficiency in programming languages Python, JavaExperience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).Excellent problem-solving and communication skills.Experience with big data technologies such as Apache Spark or Hadoop Preferred.

Remote Machine Learning Engineer Job in Mountain View, CA Photon

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