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Senior Platform Engineer, Machine Learning - Remote

Posted 27 weeks ago

Overview

As a Senior Platform Engineer, Machine Learning, at Fieldguide, you'll be responsible for building and maintaining the infrastructure that powers our ML solutions in the audit and advisory industry.

In Short

  • Design and implement infrastructure for ML model management.
  • Build and maintain platforms for running ML algorithms at scale.
  • Develop systems for A/B testing and performance monitoring.
  • Create and manage ETL infrastructure for ML workflows.
  • Implement best practices for MLOps.
  • Collaborate with ML Engineers to optimize model performance.
  • Ensure scalability, reliability, and security of ML systems.
  • Stay current with advancements in MLOps and cloud technologies.
  • Contribute to internal tools and frameworks for ML workflow efficiency.
  • Be an essential technical contributor at a Series B-stage company.

Requirements

  • 3-4 years of experience in software engineering or DevOps with a focus on ML systems.
  • Experience with ML frameworks.
  • Experience with cloud platforms, preferably AWS.
  • Experience with container runtime architectures, preferably Kubernetes.
  • Proficiency in Python or Typescript.
  • Familiarity with CI/CD practices and tools.
  • Experience with Infrastructure as Code tools like Terraform.
  • Strong understanding of distributed systems and microservices architecture.
  • Ability to work in a fast-paced startup environment.

Benefits

  • Competitive compensation packages with meaningful ownership.
  • Unlimited PTO.
  • 401k.
  • Wellness benefits, including free therapy sessions.
  • Technology & Work from Home reimbursement.
  • Flexible work schedules.

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