AI/ML Ops Engineer
Job Description: • Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud. • Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift. • Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent. • Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers. • Write clean, well-documented, fast, and maintainable code. • Help ensure our systems have high availability and performance. Requirements: • BS in Computer Science or a related field. • 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent. • Expert-level Python and TypeScript skills. • Experience with Docker, Kubernetes, Terraform, and Google Cloud. • Deep understanding of large language models (LLMs) and prompt-engineering best practices. • Experience designing and maintaining CI/CD pipelines to fine-tune or train LLM models. • Excellent written and verbal communication skills. Benefits: Apply tot his job