Machine Learning Infrastructure Architect

2 days ago


San Francisco, California, United States Unreal Gigs Full time

At Unreal Gigs, we're on the cutting-edge of AI-driven innovation. As a Senior Machine Learning Infrastructure Engineer, you'll lead the design, development, and optimization of our machine learning infrastructure.

About the Role

You'll work on challenging projects, from building scalable data pipelines to deploying and managing machine learning models in production environments. If you're a seasoned engineer with expertise in machine learning infrastructure technologies and a passion for building scalable, reliable, and efficient systems, we want you to join our team.

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.
  • Mentor junior engineers, sharing expertise and best practices in machine learning infrastructure engineering, and facilitate knowledge sharing sessions within the team.
What We Offer
  • A competitive salary: $190,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of AI-driven innovation.


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