Remote ML Ops Engineer — Scalable Data Pipelines

Intuition Machines, Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Fully remote position

Global team of colleagues

Modern development workflows

High impact products

Flat organization

Job summary

Intuition Machines, Inc. is seeking a Senior ML Ops Engineer to shape and expand data pipelines powering our security-focused products.

You will design, maintain, and improve high-performance data workflows, enabling data access, reliability, and scalability for researchers and engineers. Collaborate with ML, frontend, and backend teams to speed deployments of dashboards and models; build datasets on demand; influence storage strategies; iterate quickly to ship features that reach millions of

Qualifications

• 3+ years in a data role with designing/building data stores, feature engineering, and high-load pipelines.
• 2+ years of professional software development outside data engineering.
• Proficiency in Python and Kafka; experience with distributed data systems.
• Deep understanding of SQL and NoSQL databases (ClickHouse preferred).
• Familiarity with AWS or Azure cloud platforms.
• Experience with CI/CD and orchestration: Kubernetes, containerization, microservices.

Responsibilities

• Maintain, extend, and improve data/ML workflows for high-velocity data.
• Provide interfaces to enable ML engineers/researchers to build datasets on demand.
• Influence data storage and processing strategies.
• Collaborate with ML, frontend, and backend teams to build the data platform.
• Reduce time-to-deployment for dashboards and ML models.
• Establish best practices and pipelines for dataset generation and usage.
• Work with large datasets under performance constraints similar to top tech firms.
• Iterate quickly to ship new products/features to millions of users.

Skills

Python

Kafka

Distributed data systems

SQL

NoSQL databases

ClickHouse

Cloud platforms

Kubernetes

Containerization

Microservices

Tools

Kubernetes

Docker

Microservices design

Job description

Intuition Machines, Inc. is seeking a Senior ML Ops Engineer to shape and expand data pipelines powering our security-focused products.

You will design, maintain, and improve high-performance data workflows, enabling data access, reliability, and scalability for researchers and engineers. Collaborate with ML, frontend, and backend teams to speed deployments of dashboards and models; build datasets on demand; influence storage strategies; iterate quickly to ship features that reach millions of