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2 weeks ago
Our team is seeking a highly skilled LLM Ops Lead/Architect to manage large language models in production.
About the Role:This key role will focus on building robust, scalable, and secure infrastructure for training, fine-tuning, inference, and continuous improvement of large language models.
- Design and implement LLM Ops 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.
- Partner with data science, research, and product teams to streamline the LLM lifecycle.
- Build and manage Ops automation pipelines for dataset updates, retraining, and model versioning.
- Evaluate and implement tools for cost optimization and performance tuning.
- Provide technical leadership and mentor teams on LLMOps methodologies.
- Expertise in LLM deployment, scaling, and monitoring.
- Proficiency in MLOps frameworks, cloud-native architectures, and modern DevOps practices.
- Strong background in 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.
- Knowledge of LLM safety, bias mitigation, and regulatory compliance.
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