DevOps Engineer (ML-Ops)

Sorry, this job was removed at 06:24 p.m. (UTC) on Monday, Aug 04, 2025
Hiring Remotely in United States
Remote
Artificial Intelligence • Information Technology
The Role

Role Summary: As a DevOps Engineer specializing in MLOps and LLM Ops, you will ensure the robustness and efficiency of our infrastructure that supports AI-driven speech technology platforms and large language models. You will collaborate closely with machine learning teams to streamline the deployment, monitoring, and maintenance of complex models that enhance our products' capabilities.

Key Responsibilities:

  • Develop and manage a scalable and secure infrastructure for deploying TTS, STT, and LLM applications.

  • Create and maintain CI/CD pipelines for continuous integration and deployment of various AI models.

  • Work alongside ML engineers to optimize the training, validation, and deployment of speech and language models.

  • Monitor and analyze system performance and resolve any issues to ensure reliability and efficiency.

  • Innovate and implement best practices in cloud technology, containerization, and MLOps/LLM Ops tools to advance our operational capabilities.

Who You Are:

  • Experienced in DevOps, with a deep focus on MLOps and experience in LLM Ops.

  • Proficient with cloud services (AWS, GCP, Azure) specifically for deploying ML and LLM environments.

  • Expertise in container technologies such as Docker and orchestration tools like Kubernetes.

  • Strong communication skills, capable of collaborating effectively with both technical and non-technical teams.

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

  • Minimum of 3 years experience in DevOps, with significant exposure to MLOps and preferably LLM Ops.

  • Strong programming and scripting skills in languages like Python.

  • Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks.

What We Offer:

  • A chance to be at the forefront of technological innovation in a fast-growing startup.

  • A dynamic and supportive work environment where teamwork and creativity are encouraged.

  • Competitive salary, comprehensive health benefits, and equity options.

  • Flexible work arrangements, including remote work opportunities.

Similar Jobs

Sage Logo Sage

Enterprise Account Executive

Hardware • Healthtech • Software • Analytics
Remote or Hybrid
USA
95 Employees
130K-385K Annually

ServiceNow Logo ServiceNow

Director, Product Management- AI Agent Products

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
Santa Clara, CA, USA
29000 Employees
221K-387K Annually

Xero Logo Xero

Partner Success Manager

Cloud • Fintech • Information Technology • Machine Learning • Software
Remote or Hybrid
United States
4500 Employees
84K-124K Annually

ServiceNow Logo ServiceNow

Manager, Strategic Events — Keynote Programs

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
San Francisco, CA, USA
29000 Employees
102K-179K Annually
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Berlin
45 Employees

What We Do

Forget lengthy development cycles and expensive machine learning teams. With Synthflow AI you can build sophisticated, tailored AI agents without technical skills or coding - just bring your data and ideas.

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software • Productivity
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account