Expert AI Infrastructure Solutions Architect

6 days ago

San Francisco, California, United States ZipRecruiter Full time
Company Overview:
Welcome to the forefront of cutting-edge innovation, where we pioneer the use of artificial intelligence to revolutionize industries. We are committed to building robust infrastructure that powers our machine learning models at scale.

Position Overview:
As an Expert AI Infrastructure Solutions Architect, you will lead the design and development of scalable and reliable infrastructure solutions to support machine learning workflows. You will work on challenging projects, from building data pipelines to deploying and managing machine learning models in production environments. If you have expertise in AI infrastructure technologies and a passion for building efficient systems, you may be the ideal candidate for this role.

Key Responsibilities:
  • Design and architect scalable and reliable infrastructure solutions to support machine learning workflows, including data ingestion, model training, evaluation, and deployment.
  • Develop and maintain data pipelines to ingest, preprocess, and transform data for training machine learning models, ensuring data quality, integrity, and scalability.
  • Build and optimize infrastructure for training machine learning models at scale, leveraging distributed computing frameworks and accelerators for performance and efficiency.
  • Design and implement systems for deploying and managing machine learning models in production environments, ensuring reliability, scalability, and real-time inference capabilities.
  • Implement monitoring and logging solutions to track the performance and health of machine learning infrastructure and models, proactively identifying and resolving issues.
  • Develop automation and orchestration tools to streamline machine learning workflows, reducing manual intervention and improving operational efficiency.
  • Implement security controls and ensure compliance with data privacy regulations in machine learning infrastructure and workflows, protecting sensitive data and ensuring regulatory compliance.
  • Document infrastructure designs, processes, and best practices, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.
  • Collaborate with data scientists, machine learning engineers, and software developers to understand requirements and deliver infrastructure solutions that meet business needs.

Qualifications:
  • 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, and services like AWS SageMaker, Azure Machine Learning, or Google AI Platform.
  • Strong programming skills in languages such as Python, Java, or Scala, with experience in distributed computing frameworks like Apache Spark or TensorFlow.
  • Experience with containerization technologies such as Docker and container orchestration platforms such as Kubernetes.
  • Strong understanding of machine learning concepts and techniques, with experience deploying and managing machine learning models in production environments.
  • Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex infrastructure issues.

Estimated Salary:$185,000 per year, which is comparable to industry standards for Senior Machine Learning Infrastructure Engineers.

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