Senior Language Model Operations Specialist

1 week ago


Kota, Rajasthan, India beBeeLanguage Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

We are seeking an experienced expert to lead the deployment, scaling, and monitoring of large language models in production.

This role will focus on 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.

Key Responsibilities
  • 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 and Qualifications
  • Strong expertise in LLM deployment, scaling, and monitoring.
  • Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
  • Hands-on with cloud-native architectures (Azure preferred).
  • Strong 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.
  • Strong leadership and stakeholder communication skills.
  • Knowledge of LLM safety, bias mitigation, and regulatory compliance.
What We Offer
  • A competitive compensation package, performance-based incentives, and health benefits.
  • Company-sponsored certifications, training programs, and skill-building opportunities.
  • A culture of inclusivity and support, with remote work options and a fully supported work-from-home setup.
  • Team activities, wellness and mental health programs to ensure you feel supported.


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