
AI Model Operations Leader
2 days ago
We require strong expertise in LLM deployment, scaling, and monitoring. Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns) is also necessary.
- Hands-on experience 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.
The ideal candidate will have strong leadership and stakeholder communication skills, as well as knowledge of LLM safety, bias mitigation, and regulatory compliance.
What We OfferOur competitive compensation package and performance-based incentives are designed to ensure you're well-supported.
Health benefits, company-sponsored certifications, training programs, and skill-building opportunities will help you succeed.
Remote work options, wellness and mental health programs, team activities, and inclusive culture support your comfort and productivity.
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