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- Design the data pipelines and engineering infrastructure to support machine learning systems at scale
- Take offline models data scientists build and turn them into a real machine-learning production system
- Develop and deploy scalable tools and services to handle machine learning training and inference
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development with an emphasis on audibility, versioning, and data security
- Automate the deployment and scaling of machine learning models in production
- Monitor and maintain the performance and accuracy of machine learning models in production
- Implement continuous integration and delivery pipelines for machine learning models
- Collaborate with data scientists, software engineers, and other stakeholders to ensure machine learning models' effective deployment and operation
- Stay up to date with the latest technology and industry trends in MLOps
- 3+ years of experience in MLOps, Python and cloud platform (AWS)
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent
- Experience in MLOps tools like MLFlow, Kubeflow
- Experience developing with containers and Kubernetes in cloud computing environments
- Experience building custom integrations between cloud-based systems using API
- Experience developing and maintaining ML systems built with open-source tools
MLOps Engineer - Mumbai, India - EDU ANGELS INDIA PVT LTD
EDU ANGELS INDIA PVT LTD
Mumbai, India
2 weeks ago
Description
Responsibilities :