MLOps Engineer
1 week ago
Experience : 5 to 7 Years
Remote Work
Job Description :
Responsibilities :
- Responsible for the design and implementation of secure and scalable infrastructure in Azure cloud.
- Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.
- Own and automate the infrastructure provisioning, demand forecasting and capacity planning.
- Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
- Setting up the alerts and monitoring for the platform.
- Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOPs/DevOps tools and automation.
- Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices.
- Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure.
- Hands on experience in Python or any other scripting languages (Groovy, Shell)
- Experience with monitoring tools.
- Handson experience in Docker, Kubernetes.
- Excellent experience with source code management tools (git)
- Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc.
- Experience in implementing Data/Model drift.
- Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline.
- Excellent Troubleshooting skills
- Always ready to learn more and adopt new cuttingedge technology with right value proposition.
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