Staff AI Platform Engineer

Openkrill; United States; Remote; USD 200,000 - 235,000; Full time

Benefits offered by this job

Equity

Company bonus or sales commissions/bon

401(k) plan

Medical, dental, and vision benefits

Wellness stipend

Job summary

Domino is seeking a senior software engineer to join our Model Development Lifecycle team in a remote capacity within the United States. You will collaborate with customers to design model deployment solutions on AWS SageMaker and Azure ML, and help scale our data science platform with robust monitoring and registry capabilities.

The ideal candidate has 8+ years as an IC, deep AI/ML knowledge, experience with distributed back-end systems, and proficiency in Docker, Kubernetes, and cloud

Qualifications

• 8+ years in a software engineering individual contributor role.
• Strong Background in AI/ML with experience building and deploying models.
• Experience with scalable backend systems in distributed environments.

Responsibilities

• Collaborate with customers to design model deployment solutions (AWS SageMaker, Azure ML).
• Introduce a Data Science Catalog for discovering data science resources.
• Integrate model monitoring for deployment health and performance.
• Enhance tagging across Domino entities for better discoverability and tracking.
• Expand LLM hosting capabilities for scale, performance and logging.

Skills

AI/ML expertise

Backend development

API design

Cloud platforms

Docker & Kubernetes

CI/CD

Distributed computing

Tools

Docker

Kubernetes

Apache Spark

Azure ML

SageMaker

Job description

Domino is seeking a senior software engineer to join our Model Development Lifecycle team in a remote capacity within the United States. You will collaborate with customers to design model deployment solutions on AWS SageMaker and Azure ML, and help scale our data science platform with robust monitoring and registry capabilities.

The ideal candidate has 8+ years as an IC, deep AI/ML knowledge, experience with distributed back-end systems, and proficiency in Docker, Kubernetes, and cloud