Senior Software Engineer - ML Platform

September 5

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Fieldguide

Compliance Software β€’ Compliance Audit & Advisory β€’ Audit Engagement Software β€’ Workflow Automation & Artificial Intelligence β€’ Enterprise Cloud

Description

β€’ Build and maintain ML infrastructure for audit and advisory β€’ Create scalable, efficient systems for model deployment and monitoring β€’ Develop A/B testing and performance monitoring systems β€’ Implement best practices for MLOps β€’ Collaborate with ML Engineers to optimize model performance β€’ Ensure scalability, reliability, and security of ML systems β€’ Stay current with MLOps advancements and cloud technologies

Requirements

β€’ 3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems β€’ Experience with ML frameworks β€’ Experience with cloud platforms, preferably AWS β€’ Experience with container runtime architectures, preferably Kubernetes β€’ Proficiency with at least one programming language, preferably Python or Typescript β€’ Familiarity with CI/CD practices and tools β€’ Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation β€’ Strong understanding of distributed systems and microservices architecture β€’ Ability to work in a fast-paced, changing startup environment

Benefits

β€’ Competitive compensation packages with meaningful ownership β€’ Unlimited PTO β€’ 401k β€’ Wellness benefits, including a bundle of free therapy sessions β€’ Technology & Work from Home reimbursement β€’ Flexible work schedules

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