Senior Data & ML Infra Engineer — Production Pipelines

Xora Innovation; San Diego (CA); Hybrid; USD 130,000 - 180,000; Full time

Job summary

ELEMYNT, built by Xora Innovation, seeks an experienced systems engineer to own data and ML infrastructure. You will architect data pipelines, curate training data, and manage model packaging, serving, and CI/CD across on-site or hybrid environments.

You will ensure observability, reliability, and performance of deployments in customer environments, including cloud and HPC setups, with multi-GPU support and scalable workflows.

Qualifications

• 6+ years shipping production software with data systems and ML infra.
• Strong Python and end-to-end system delivery experience.
• Experience with large-scale data systems and distributed compute.
• Production MLOps: packaging, versioning, monitoring, CI/CD.

Responsibilities

• Build and operate data pipelines for large-scale scientific output.
• Develop ML data pipelines for training, fine-tuning, RL.
• Package, version, deploy models and maintain CI/CD.
• Run CI/CD and serving for batch, online, and async inference.
• Monitor drift, latency, and anomalies; set up dashboards and alerts.
• Design APIs and internal tools to improve reliability for engineers.

Skills

Python

Data pipelines

MLOps

Containers & orchestration

Cloud & HPC

Education

BSc or MSc in CS or related

Tools

Airflow

Dagster

Flyte

Kubernetes

OpenTelemetry

Prometheus

Job description

ELEMYNT, built by Xora Innovation, seeks an experienced systems engineer to own data and ML infrastructure. You will architect data pipelines, curate training data, and manage model packaging, serving, and CI/CD across on-site or hybrid environments.

You will ensure observability, reliability, and performance of deployments in customer environments, including cloud and HPC setups, with multi-GPU support and scalable workflows.