Large Language Model Operations Lead

1 day ago

Shimoga, Karnataka, India beBeeLeader Full time ₹ 1,64,32,000 - ₹ 2,01,60,000

We're seeking a visionary leader to spearhead the deployment, scaling, and monitoring of large language models (LLMs) in production.

About the Role:

This high-profile position involves building robust, scalable, and secure infrastructure for managing the end-to-end lifecycle of LLMs—from training and fine-tuning to inference and continuous improvement.

  • Lead the design and implementation of 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 to ensure safe and ethical LLM usage.
  • Partner closely 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.
What You'll Bring:

Expertise in LLM deployment, scaling, and monitoring.

Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).

Hands-on experience with cloud-native architectures (Azure preferred).

Background in CI/CD pipelines, containerization (Docker, Kubernetes), and microservices.

Solid understanding of observability tools (Prometheus, Grafana, OpenTelemetry).

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.

Leadership and stakeholder communication skills.

Knowledge of LLM safety, bias mitigation, and regulatory compliance.

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