Senior Data & Machine Learning Infrastructure Engineer

Job overview

The Senior Data & Machine Learning Infrastructure Engineer role is listed in San Diego, CA; the posting says the work model is onsite or hybrid depending on location and identifies the United States and Singapore as hiring locations. Compensation is not specified. The role supports ELEMYNT, an early-stage startup built by Xora Innovation, developing applied intelligence for materials design and deployment. The engineer builds and operates data pipelines and machine-learning infrastructure that turn scientific output into training-ready data and move models from research into production. The work includes deployment, monitoring, and reliability across customer-managed secure environments, cloud systems, and clusters.

What you'll do

• Build and maintain scientific data and ML data pipelines
• curate and validate training data
• package, version, deploy, serve, and monitor models
• implement CI/CD and safe rollout and rollback workflows
• create dashboards, metrics, logs, and alerts
• design APIs, services, and internal tools
• support reliable operation in customer environments.

What we're looking for

Skills & competencies

senior data engineer

machine learning infrastructure

data pipelines

mlops

python

kubernetes

model serving

scientific computing

san diego ca

xora innovation

onsite or hybrid

Work arrangement

• Weekend coverage required

Why this role

Combines scientific data infrastructure, production MLOps, and deployment in customer-managed secure environments; hiring in the United States or Singapore with onsite or hybrid arrangements by location.

About the employer

Xora Innovation is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.