Machine Learning Infrastructure Architect

3 weeks ago


San Francisco, California, United States Unreal Gigs Full time
Company Overview: Welcome to Unreal Gigs, a cutting-edge company leveraging AI-driven innovation. We're pioneers in machine learning, committed to building robust infrastructure that powers our models at scale.

We're seeking an experienced Senior Machine Learning Infrastructure Engineer to lead the design, development, and optimization of our machine learning infrastructure. This role involves challenging projects, from building scalable data pipelines to deploying and managing machine learning models in production environments.

**Key Responsibilities:**
  1. Design and architect scalable and reliable infrastructure solutions to support machine learning workflows.
  2. Develop and maintain data pipelines to ingest, preprocess, and transform data for training machine learning models.
  3. Build and optimize infrastructure for training machine learning models at scale, leveraging distributed computing frameworks and accelerators.
  4. Design and implement systems for deploying and managing machine learning models in production environments.
  5. Implement monitoring and logging solutions to track the performance and health of machine learning infrastructure and models.
  6. Develop automation and orchestration tools to streamline machine learning workflows.
  7. Implement security controls and ensure compliance with data privacy regulations in machine learning infrastructure and workflows.

Requirements:
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in infrastructure engineering, with a focus on machine learning infrastructure.
  • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with containerization technologies such as Docker and container orchestration platforms such as Kubernetes.
  • Strong understanding of machine learning concepts and techniques.


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