Staff AI/ML Platform Engineer

Domino Data Lab; Argentina; On-site; ARS 303,177,000 - 356,233,000; Full time

Job summary

Domino Data Lab is building a cutting-edge platform to help AI-driven teams develop, train, deploy, and monitor models at scale. Our Model Development Lifecycle Team enables collaboration, reuse, and reproducibility across the full ML lifecycle.

In this role, you will work with customers to deploy models on AWS SageMaker and Azure ML, help create a Data Science Catalog, and enhance model monitoring, tagging, and LLM hosting capabilities to meet growing scale and performance needs.

Qualifications

• Strong Background in AI/ML: designing, building, deploying AI/ML models.
• Building Scalable Systems: backend systems in distributed environments.
• Collaboration Across Teams: work with cross-functional teams.
• API Development: secure, scalable APIs.
• Performance Optimization: cloud environments and containers.

Responsibilities

• Collaborate with customers to design solutions for deploying models to platforms like AWS SageMaker and Azure ML.
• Introduce a Data Science Catalog for discovering and summarizing global data science resources within Domino.
• Integrate model monitoring to provide a holistic view of deployment health and performance.
• Enhance tagging capabilities across Domino entities to improve discoverability and tracking.
• Expand LLM hosting capabilities to address customer needs for scale, performance, and logging.

Skills

AI/ML expertise

Backend development

Distributed systems

API development

Cloud platforms

CI/CD

Tools

Docker

Kubernetes

Spark

Ray

AWS SageMaker

Azure ML

Job description

Domino Data Lab is building a cutting-edge platform to help AI-driven teams develop, train, deploy, and monitor models at scale. Our Model Development Lifecycle Team enables collaboration, reuse, and reproducibility across the full ML lifecycle.

In this role, you will work with customers to deploy models on AWS SageMaker and Azure ML, help create a Data Science Catalog, and enhance model monitoring, tagging, and LLM hosting capabilities to meet growing scale and performance needs.