Senior Software Engineer - ML Platform

September 5

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Compliance Software • Compliance Audit & Advisory • Audit Engagement Software • Workflow Automation & Artificial Intelligence • Enterprise Cloud

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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