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Description:
This is a fully remote role, allowing you to work from anywhere in the world.
Synthflow is building the easiest way for businesses to create AI-powered phone agents with no coding required.
The company is focused on delivering the future of voice technology with scalable solutions.
The role involves optimizing the deployment, monitoring, and performance of MLOps and LLM systems.
Key responsibilities include developing and managing a scalable and secure infrastructure for deploying TTS, STT, and LLM applications, creating and maintaining CI/CD pipelines, collaborating with ML engineers, monitoring system performance, and implementing best practices in cloud technology and MLOps tools.
Requirements:
Candidates must have experience in DevOps with a focus on MLOps and LLM Ops.
Proficiency with cloud services such as AWS, GCP, and Azure for deploying ML and LLM environments is required.
Expertise in container technologies like Docker and orchestration tools such as Kubernetes is necessary.
Strong communication skills are essential for effective collaboration with both technical and non-technical teams.
A Bachelor’s degree in Computer Science, Engineering, or a related technical field is required.
A minimum of 3 years of experience in DevOps, with significant exposure to MLOps and preferably LLM Ops, is needed.
Strong programming and scripting skills in languages like Python are required.
Demonstrated ability in infrastructure management, DevOps, and operations for ML and LLM frameworks is necessary.
Benefits:
The position offers high-ownership roles in a fast-moving startup, providing autonomy at speed.
Employees can contribute from anywhere, enjoying remote-first flexibility.
The opportunity to work with cutting-edge technology on projects that interest you most is provided.
There is potential for career growth as the company expands, allowing you to scale your impact.
A competitive pay package, equity options, and comprehensive benefits that reflect your skills and experience are included.