Staff Software Engineer building scalable AI/ML platforms for Domino, which helps organizations operate data science and AI solutions. Developing model deployment, monitoring, catalog, and LLM hosting capabilities.
Responsibilities
Build software for developing, training, deploying, and managing machine learning models
Collaborate with customers to design model deployment solutions for AWS SageMaker and Azure ML
Introduce a Data Science Catalog for discovering and summarizing global data science resources
Integrate model monitoring for deployment health and performance visibility
Enhance tagging capabilities across Domino entities for discoverability and tracking
Expand LLM hosting capabilities for scale, performance, and logging
Develop platform capabilities for API integration, model registry, collaboration, discoverability, and scalable training resources
Requirements
8+ years in a software engineering individual contributor role
Extensive experience or knowledge designing, building, and deploying AI/ML models
Deep understanding of model development, training, optimization, and lifecycle management
Experience with advanced AI/ML tools, frameworks, and platforms
Experience developing and managing high-performance back-end systems in distributed computing environments
Experience integrating systems with front-end interfaces and third-party services
Experience designing and implementing secure, scalable APIs, including RESTful APIs and gRPC
Experience profiling and optimizing back-end performance in cloud environments or with Docker and Kubernetes
Experience with unit, integration, and end-to-end testing frameworks
Experience setting up CI/CD pipelines
Proficiency with AWS, Azure, and GCP
Apache Spark, Azure ML, or SageMaker experience is a plus
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