Expertise in Large Language Models
2 days ago
Job OpportunityAbout the RoleDelphi is a leading consulting firm that enables predictive analytics, transforms operations with automation, and drives customer engagement with intelligent platforms. Our organization seeks an experienced professional to fill the position of Lead Consultant – LLM Ops.The successful candidate will design, implement, and scale our Large Language Model (LLM) operations infrastructure. You will bring deep expertise in MLOps and cloud-native architectures to ensure that our LLM solutions are deployed, monitored, and continuously improved at enterprise scale.Infrastructure: Lead the design and implementation of scalable infrastructure for training, fine-tuning, deployment, and inference of LLMs.Operational Excellence: Establish best practices for model deployment, monitoring, drift detection, and lifecycle management.Responsible AI: Implement safety guardrails, compliance standards, and bias mitigation frameworks to ensure responsible AI.Collaboration: Partner with cross-functional teams (data science, research, product, engineering) to streamline LLMOps workflows.Automation & Pipelines: Build automation pipelines for retraining, dataset updates, and version management.Optimization: Evaluate tools and frameworks to improve performance, reduce latency, and optimize costs.Observability: Ensure full visibility into deployed models with monitoring and alerting via tools such as Prometheus, Grafana, and OpenTelemetry.Leadership: Mentor team members, advocate for best practices, and influence stakeholders to adopt scalable LLMOps standards.RequirementsStrong expertise in LLM deployment, scaling, and monitoring.Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).Hands-on with cloud-native architectures (Azure preferred).Solid experience with CI/CD pipelines, Docker, Kubernetes, and microservices.Strong knowledge of observability tools (Prometheus, Grafana, 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.Key Skills:Our ideal candidate possesses a unique blend of technical expertise and leadership skills. If you are passionate about advancing the field of artificial intelligence and have a talent for building high-performing teams, we encourage you to apply.
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