Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Niche GenAI/ML infrastructure Principal role reduces qualified applicant density.
Requires deep ML infrastructure and GenAI expertise, limiting cross-industry transferability.
Explicit 5+ years and mandatory production ML/GenAI infrastructure experience enforce strict filters.
Lead design and implementation of scalable data platform architectures for ingestion, processing, storage, and analytics.
Build and manage AI/ML infrastructure including model training, deployment, monitoring, and MLOps for production-grade machine learning systems.
Drive adoption and integration of Generative AI technologies including Large Language Models, Retrieval-Augmented Generation, vector search, and AI agents across enterprise products.
5+ years of hands-on experience building production data and AI/ML systems.
Experience designing and implementing large-scale data platforms and ML infrastructure.
Strong understanding of Generative AI and Large Language Models applications in production.
Work Experience Required: 5+ years (explicitly mentioned).
Technical leader with deep expertise in end-to-end data platform architecture including pipelines, lakes, warehouses, and real-time processing.
Experienced in building scalable ML systems with focus on model lifecycle, MLOps, and production deployment.
Proven ability integrating advanced Generative AI/LLM technologies into enterprise-grade AI platforms and products.