Fieldguide
Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.
Compliance Software • Compliance Audit & Advisory • Audit Engagement Software • Workflow Automation & Artificial Intelligence • Enterprise Cloud
Senior Software Engineer - ML Platform
September 5, 2024
🏄 California – Remote
💵 $170k - $185k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Apache
AWS
Cloud
Cyber Security
Distributed Systems
ETL
GraphQL
Kubernetes
Microservices
Node.js
Postgres
Python
Spark
Terraform
TypeScript
Go
Fieldguide
Fieldguide is a modern, award-winning AI platform designed for advisory and audit firms. It helps streamline engagements, increase efficiency, and improve client satisfaction through its end-to-end engagement analytics. The platform supports various services, including risk advisory, cybersecurity and privacy, regulatory compliance, SOC readiness and audits, IT audits, and financial audits. Fieldguide integrates with popular productivity and IT tools to provide a seamless user experience, allowing for automated management of requests, documents, and reports. Trusted by top industry firms, Fieldguide enhances the practice of audit and advisory services with AI-driven innovations that save time and improve margins.
Compliance Software • Compliance Audit & Advisory • Audit Engagement Software • Workflow Automation & Artificial Intelligence • Enterprise Cloud
📋 Description
• Build and maintain ML infrastructure for audit and advisory • Create scalable, efficient systems for model deployment and monitoring • Develop A/B testing and performance monitoring systems • Implement best practices for MLOps • Collaborate with ML Engineers to optimize model performance • Ensure scalability, reliability, and security of ML systems • Stay current with MLOps advancements and cloud technologies
🎯 Requirements
• 3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems • Experience with ML frameworks • Experience with cloud platforms, preferably AWS • Experience with container runtime architectures, preferably Kubernetes • Proficiency with at least one programming language, preferably Python or Typescript • Familiarity with CI/CD practices and tools • Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation • Strong understanding of distributed systems and microservices architecture • Ability to work in a fast-paced, changing startup environment
🏖️ Benefits
• Competitive compensation packages with meaningful ownership • Unlimited PTO • 401k • Wellness benefits, including a bundle of free therapy sessions • Technology & Work from Home reimbursement • Flexible work schedules
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