
Large Language Model Operations Specialist
2 days ago
We are seeking a talented Machine Learning Engineer to drive the deployment, scaling, and monitoring of large language models in production. As a key member of our team, you will design and implement robust, scalable, and secure infrastructure for managing the end-to-end lifecycle of LLMs.
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 for safe and ethical LLM usage.
- 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 in large-scale environments.
- Provide technical leadership and mentor teams on LLMOps methodologies.
Requirements:
- Expertise in LLM deployment, scaling, and monitoring.
- Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
- Hands-on experience with cloud-native architectures.
- Strong background in CI/CD pipelines, containerization, and microservices.
- Solid understanding of observability tools.
- Deep knowledge of model evaluation, drift detection, prompt management, and AI safety guardrails.
- 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.
Benefits:
Our company offers a competitive compensation package, performance-based incentives, health benefits, and opportunities for growth and development. Our inclusive culture includes remote work options, team activities, wellness programs, and mental health support to ensure your comfort and productivity.
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