Advanced Language Model Operations Specialist

1 day ago


Vellore, Tamil Nadu, India beBeeOpportunity Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Key Role: LLM Ops Lead/Architect

The organization is looking for an experienced LLM Ops Lead/Architect to drive the deployment, scaling, and monitoring of large language models (LLMs) in production. This role focuses on building robust, scalable, and secure infrastructure for managing the end-to-end lifecycle of LLMs.

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  • 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.
Required Skills:
  • Strong expertise in LLM deployment, scaling, and monitoring.
  • Proficiency in MLOps frameworks.
  • 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 Package:

The organization offers a competitive compensation package, performance-based incentives, and health benefits designed to ensure employees' well-being.

Continuous growth and professional development are encouraged through company-sponsored certifications, training programs, and skill-building opportunities.



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