Large Language Model Operations Specialist

1 week ago


Pune, Maharashtra, India beBeeLlm Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Avoid stagnation and thrive in a dynamic company that fosters growth through shared values.

We create an environment that empowers employees to advance both personally and professionally. Our hybrid work model prioritizes flexibility, with virtual interviews and onboarding reflecting our digital-first mindset. We offer impactful solutions for clients across Data, Advanced Analytics, AI, Infrastructure, Cloud Security, and Application Modernization.

About the Role:

Deploy, scale, and monitor large language models (LLMs) in production with expertise spanning MLOps frameworks, cloud-native architectures, and DevOps practices. Build robust infrastructure for managing LLMs from training and fine-tuning to inference and continuous improvement.

The ideal candidate will possess hands-on experience 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.

Responsibilities:

  • Design scalable 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.
  • Collaborate closely with data science, research, and product teams to streamline the LLM lifecycle.
  • Develop 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.

Requirements:

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

Career Advancement Opportunities:

We are committed to your continuous growth and offer competitive compensation, health benefits, company-sponsored certifications, training programs, and skill-building opportunities to support your success. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.



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