MLOps Engineer ID72409

Agileengine

Garland, United States

≈ 653,5 тыс.–1,1 млн ₽ · 7,3 тыс.–12,3 тыс. €

8 333 – 14 000 $

🏢 Офис

Middle

Полная занятость

Продуктовая

Tech

Описание вакансии

Обязанности

•Build and maintain ML deployment infrastructure

•Collaborate with data scientists for production ready solutions

•Create model visibility dashboards

•Implement CI CD workflows for model deployment

•Implement concept drift detection

•Implement data drift detection

•Manage GPU compute resources for cost effective scalability

•Manage experiment tracking

•Manage model registry versioning

•Own ML experiment to production lifecycle

•Provision cloud environments for ML workloads

•Set up production monitoring systems

Условия

•Education budget

•Fitness budget

•Flextime

•Mentorship

•Personalized growth roadmaps

•Remote and office options

•Team activity budget

•Techtalks

Технологии: CI/CD, Cloud Computing, Concept drift, Concept drift detection, Data Drift, Data Drift Detection, Data Engineering, DevOps, Docker, Drift Detection, Experiment tracking, GPU Computing, Kubernetes, MLOps, Machine Learning, Model Registry, Model versioning, Production Monitoring