We use technical cookies and Zorky's de-identified visit log. Yandex Metrica (data is stored on servers in Russia) runs only with your consent. We never sell data. More about cookies and statistics.
Zorky is in test mode — everything is free. Jobs and company pages are open to everyone; links to postings and your personal feed open after you sign up. Sign up →
← All jobs

MLO Engineer (Machine Learning Operations)

Senioroffice153,500 USD · period not specifiedMojave, California, United States, UStoday
Stack
awsci/cdcloudcloudwatchdagsterdevsecopsdockerec2ecseksgitlabjenkins
Details
Experience
5+ years
Practices
CI/CD, DevSecOps
Show company and link
Free, after you sign in.
Apply
Upload your CV — employers and recruiters from different countries looking for your profile can contact you directly.
Send your CV →
Description

Stratolaunch accelerates the development of next-generation aerospace and defense technologies through reusable hypersonic flight testing. Our autonomous, air-launched Talon-A vehicles provide access to operationally realistic flight environments at speeds exceeding Mach 5, delivering critical data that helps customers validate system performance and advance technologies toward deployment. Our team brings together expertise in engineering, manufacturing, and flight operations to solve complex challenges and advance capabilities essential to national security.

The AI Solutions Engineer contributes to the development, integration, and operation of AI capabilities across Stratolaunch. The Enterprise Software Team integrates a mix of COTS and custom tools to provide the right data, functionality, and AI-enabled capabilities to the right user at the right time.

This position will focus on the infrastructure, integrations, observability, and developer tools required to operationalize AI for vehicle design, manufacture, flight test, and business teams. Responsibilities may include hosting and maintaining large language model (LLM) and Retrieval-Augmented Generation (RAG) systems; developing logging and monitoring capabilities; operating AI workloads in AWS; optimizing vector search systems such as Qdrant; and building APIs, plugins, SDKs, and command-line tools for internal users.

The AI Platform and MLOps Engineer will also evaluate and integrate COTS solutions, third-party serv

Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview. Send your CV so employers can reach you directly.
Report this job
Urgent question? Message @termdocs