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3 days ago
We are seeking an experienced professional to lead the development and deployment of large language models (LLMs) in production. This role will involve building a robust, scalable, and secure infrastructure for managing the end-to-end lifecycle of LLMs.
The ideal candidate will have hands-on expertise with MLOps frameworks, cloud-native architectures, and modern DevOps practices. Additionally, they will possess leadership skills to align cross-functional stakeholders and establish best practices for LLM operations.
Key Responsibilities:- Design and implement LLM Ops infrastructure for training, fine-tuning, and large-scale inference.
- Establish and enforce best practices for model deployment, monitoring, retraining, and continuous improvement.
- Implement security, compliance, and responsible AI guardrails to ensure safe and ethical LLM usage.
- Collaborate with data science, research, and product teams to streamline the LLM lifecycle.
- Built and manage Ops automation pipelines for dataset updates, retraining, and model versioning.
- Evaluate and implement tools for cost optimization and performance tuning in large-scale environments.
- Provide technical leadership and mentor teams on LLMOps methodologies.
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