Artificial Intelligence Infrastructure Specialist

1 day ago


San Francisco, California, United States Unreal Gigs Full time
Job Overview

We are seeking an experienced Artificial Intelligence Infrastructure Specialist to join our team at Unreal Gigs. As a key member of our infrastructure team, you will play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.

Key Responsibilities:
  1. Machine Learning Infrastructure Design
  • Design and architect scalable and reliable infrastructure solutions to support machine learning model development, training, and deployment.
Model Training and Experimentation
  • Develop and maintain infrastructure for model training and experimentation, including distributed computing environments and GPU clusters.
Model Deployment and Serving
  • Implement and manage infrastructure for deploying and serving machine learning models in production environments, ensuring low-latency and high availability.
Infrastructure Automation
  • Implement infrastructure automation and orchestration using tools such as Kubernetes, Docker, Terraform, and Ansible to streamline deployment and management processes.
Requirements:

To be successful in this role, you will need:

  • A Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • Strong background in infrastructure engineering, with hands-on experience in designing, building, and optimizing infrastructure solutions for machine learning.
  • Proficiency in programming languages such as Python, Java, or Go, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for machine learning (e.g., SageMaker, AI Platform, Azure ML).
  • Knowledge of distributed computing technologies such as Apache Spark, Hadoop, or Dask, and experience with containerization and orchestration technologies such as Docker and Kubernetes.
Salary and Benefits:

The estimated annual salary for this position is $185,000 - $225,000, depending on experience and qualifications. Our comprehensive benefits package includes health, dental, and vision insurance plans, flexible work hours, remote work options, and generous vacation and paid time off.



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