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Position: ML Infrastructure Engineer
Location: Mountain View, CA
Requirements:
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., 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.
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