Serving as the Primary Expert in Large Language Models

7 days ago


bangalore, India beBeeLeadership Full time

Senior LLM Operations SpecialistDelphi is seeking an experienced Senior LLM Operations Specialist to design, implement and scale Large Language Model (LLM) operations infrastructure.LLOps Infrastructure: The ideal candidate will have a deep understanding of designing and implementing scalable infrastructure for training, fine-tuning, deployment and inference of LLMs.Operational Excellence: This individual must establish best practices for model deployment, monitoring, drift detection and lifecycle management.Responsible AI: A strong safety conscience is required to implement safety guardrails, compliance standards and bias mitigation frameworks to ensure responsible AI.Collaboration: Strong collaboration skills are essential to partner with cross-functional teams to streamline LLMOps workflows.Automation & Pipelines: The candidate should be able to build automation pipelines for retraining, dataset updates and version management.Optimization: Experience with evaluating tools and frameworks to improve performance, reduce latency and optimize costs is necessary.Observability: Full visibility into deployed models must be ensured with monitoring and alerting via tools such as Prometheus, Grafana and OpenTelemetry.Key Responsibilities:Design and Implement Scalable Infrastructure: Develop and deploy large-scale LLM infrastructure on cloud-native platforms.Establish Best Practices: Define and enforce standards for model deployment, monitoring, and maintenance.Implement Safety Guardrails: Develop and deploy safety features to prevent AI model misuse.Partner with Cross-Functional Teams: Collaborate with engineering, product, and other teams to ensure seamless integration.Build Automation Pipelines: Develop automated workflows for retraining, dataset updates, and version management.Requirements:Strong expertise in LLM deployment, scaling, and monitoring.Proficiency in MLOps frameworks such as Kubeflow, MLflow, and Databricks deployment patterns.Hands-on experience with cloud-native architectures preferably on Azure.Solid experience with CI/CD pipelines, Docker, Kubernetes, and microservices.Strong knowledge of observability tools such as Prometheus, Grafana, and OpenTelemetry.Deep understanding of model evaluation, drift detection, prompt management, and safety guardrails.Programming proficiency in Python and Bash scripting.Familiarity with vector databases and RAG pipelines.Strong leadership, stakeholder communication, and cross-functional alignment skills.Knowledge of LLM safety, bias mitigation, and regulatory compliance.



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