Chief Architect

2 days ago


tiruchirappalli, India beBeeLeadership Full time

At the forefront of cutting-edge technologies, we are seeking a visionary to spearhead our Large Language Model (LLM) operations infrastructure.As a key player in this endeavor, you will be responsible for designing, implementing, and scaling a robust infrastructure that supports the training, fine-tuning, deployment, and inference of LLMs.With deep expertise in MLOps and cloud-native architectures, you will establish best practices for model deployment, monitoring, drift detection, and lifecycle management.Furthermore, you will implement safety guardrails, compliance standards, and bias mitigation frameworks to ensure the responsible development of AI solutions.Collaborating with cross-functional teams, you will streamline LLMOps workflows and build automation pipelines for retraining, dataset updates, and version management.To ensure optimal performance, you will evaluate tools and frameworks to improve efficiency, reduce latency, and optimize costs.Additionally, you will guarantee full visibility into deployed models with monitoring and alerting via tools such as Prometheus, Grafana, and OpenTelemetry.Requirements:Expertise in LLM Deployment and ScalingProficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns)Familiarity with cloud-native architectures (Azure preferred)Hands-on experience with CI/CD pipelines, Docker, Kubernetes, and microservicesStrong knowledge of observability tools (Prometheus, Grafana, OpenTelemetry)Deep understanding of model evaluation, drift detection, prompt management, and safety guardrailsProgramming proficiency in Python and Bash scriptingFamiliarity with vector databases and RAG pipelinesStrong leadership, stakeholder communication, and cross-functional alignment skillsKnowledge of LLM safety, bias mitigation, and regulatory compliance



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