AI Model Deployment Specialist

18 hours ago


Bhavnagar, Gujarat, India beBeeLargeLanguageModel Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
LLM Operations Lead/Architect

At our organization, we are committed to making a positive impact through innovation and growth.

Our work model allows you to prioritize what matters most, with virtual interviews and onboarding reflecting our digital-first mindset. We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security, and Application Modernization.

We are seeking an experienced LLM Ops Lead/Architect to drive the deployment, scaling, and monitoring of large language models (LLMs) in production.

The ideal candidate will have strong hands-on expertise with MLOps frameworks, cloud-native architectures, and modern DevOps practices, combined with leadership skills to align cross-functional stakeholders and establish best practices for LLM operations.

  • Design and implement 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.

Key requirements include:

  • Strong expertise in LLM deployment, scaling, and monitoring.
  • Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
  • Hands-on 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.

We offer competitive compensation, performance-based incentives, and health benefits to support your growth and well-being. Our inclusive culture includes remote work options, team activities, wellness programs, and mental health support to ensure your comfort and productivity.



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