DevOps Engineer (ML-Ops)

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.