Mlops Devops Engineer Job in Lendenclub

Experience- 2- 3 yrs experience

We are looking for a capable candidate with strong technical skills and engineering drive who could

design and drive the deployment of machine learning algorithms into production.

Skills & Experience

• Deep understanding of Kubernetes internal architecture and its surrounding ecosystem, Service mesh, CNI, CSI, operators, etc.
• Hands on experience with working on Kubernetes extensions, building CRDs, operators using Operator framework
• Experience in designing & building realtime, large scale production-grade microservices applications
• Experience with production implementation of multiple SaaS and Kubernetes-based applications including HA, DR, deployment strategies
• Experience with scripting and automation is desirable (Bash, Terraform, Ansible, Jenkins, Chef)
• Experience with container technologies (Docker, Kubernetes, flannel, CoreOS, etc)
• Experience with multiple cloud providers (AWS, GCP, Azure, etc.)
• Good Knowledge of full-stack infrastructure.
• Working knowledge of multiple programming languages, like, NodeJS, Golang, Java, python
• Build practices in MLOps that combine Machine Learning, DevOps, and Data Engineering, which aim to deploy and maintain ML systems in production reliably and efficiently.
• Model & Data Versioning Automated Version Control & tracking of model versions, along with the data used to train it, and some meta-information like training hyperparameters.
• Model Output & Data Validation Automating process of Model output & Data validation with proper Metrics relevant to each model used in ML Algorithms
• Monitoring Build & Production Systems using automated monitoring & alarm tools.