
Large Language Model Operations Specialist
21 hours ago
We are seeking a highly skilled individual to lead the design and implementation of large language model operations infrastructure. The successful candidate will have hands-on expertise with MLOps frameworks, cloud-native architectures, and modern DevOps practices.
The ideal candidate will be responsible for establishing best practices for model deployment, monitoring, retraining, and continuous improvement. They will also implement security, compliance, and responsible AI guardrails to ensure safe large language model usage.
This role requires strong leadership and stakeholder communication skills, as well as proficiency in CI/CD pipelines, containerization, and microservices.
The successful candidate will work closely with data science, research, and product teams to streamline the large language model lifecycle.
Key Responsibilities:
Design and implement large language model operations infrastructure for training, fine-tuning, and large-scale inference.
Establish best practices for model deployment, monitoring, retraining, and continuous improvement.
Implement security, compliance, and responsible AI guardrails to ensure safe large language model usage.
Partner with data science, research, and product teams to streamline the large language model lifecycle.
Requirements:
Strong expertise in large language model deployment, scaling, and monitoring.
Proficiency in MLOps frameworks and cloud-native architectures.
Hands-on experience with CI/CD pipelines, containerization, and microservices.
Solid understanding of observability tools and model evaluation.
Programming expertise in Python and Bash scripting.
Experience with vector databases and RAG pipelines.
Strong leadership and stakeholder communication skills.
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