DevOps Engineer (ML-Ops)

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Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years experience in DevOps with focus on MLOps.
• Proficiency with cloud services (AWS, GCP, Azure) for deploying ML and LLM environments.
• Expertise in Docker and Kubernetes.
• Strong programming skills in Python.

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.
• Implement best practices in cloud technology, containerization, and MLOps/LLM Ops tools.