Description:

Join Synthflow.ai, a company innovating in AI technology to make it accessible for businesses of all sizes.
As a DevOps Engineer specializing in MLOps and LLM Ops, you will ensure the robustness and efficiency of infrastructure supporting AI-driven speech technology platforms and large language models.
Collaborate closely with machine learning teams to streamline the deployment, monitoring, and maintenance of complex models.
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.

Requirements:

You must have experience in DevOps, with a deep focus on MLOps and experience in LLM Ops.
Proficiency with cloud services (AWS, GCP, Azure) is required, specifically for deploying ML and LLM environments.
Expertise in container technologies such as Docker and orchestration tools like Kubernetes is necessary.
Strong communication skills are essential for collaborating effectively with both technical and non-technical teams.
A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
You should have a minimum of 3 years of experience in DevOps, with significant exposure to MLOps and preferably LLM Ops.
Strong programming and scripting skills in languages like Python are necessary.
Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks is required.

You will have the 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 is offered.
Competitive salary, comprehensive health benefits, and equity options are included in the compensation package.
Flexible work arrangements, including remote work opportunities, are available.
Every engineer receives a comprehensive compensation package that includes stock options.
You will have the autonomy to shape innovative projects from the ground up, directly influencing the future of voice AI technology.
Join a team that embraces innovation and mutual respect, valuing input from all members.
The company is committed to a remote-first approach, allowing you to work from anywhere while contributing to global projects.