
Linguistic Model Operations Expert
2 days ago
We are seeking a seasoned AI/ML engineer to spearhead the deployment, scaling, and monitoring of large language models (LLMs) in production.
The ideal candidate will possess 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.
Key Responsibilities:
- Designing and implementing LLM ops infrastructure for training, fine-tuning, and large-scale inference.
- Establishing and enforcing best practices for model deployment, monitoring, retraining, and continuous improvement.
- Implementing security, compliance, and responsible AI guardrails to ensure safe and ethical LLM usage.
- Partnering closely with data science, research, and product teams to streamline the LLM lifecycle.
- Building and managing Ops automation pipelines for dataset updates, retraining, and model versioning.
- Evaluating and implementing tools for cost optimization and performance tuning in large-scale environments.
- Providing technical leadership and mentoring teams on LLMOps methodologies.
Required Skills:
- 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.
What We Offer:
A competitive compensation package, performance-based incentives, and health benefits. Continuous growth through company-sponsored certifications, training programs, and skill-building opportunities. A positive and inclusive culture that supports your well-being and mental health.
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