ML DevOps Engineer

Interested in role that includes software engineering, devops and machine learning.  Then you are in the right place.  

The platform engineering role is multi-faceted to handle data and inputs to machine learning models, orchestrating and managing  a complex AI pipeline, handling SaaS product deployment, supporting other engineers with platform and cloud requirements.

Experience / Skills Required:
 

• Strong background in Linux Administration
• Experience with Cloud services (GCloud,/ Azyure / AWS ) 
• Experience with python / shelll scripting
• Experience in managing deployment of tensorflow, Caffe, Pyspark, flask / node.js, mongo
• Jenkins and Kafka
• Knowledge of setting up distributed system
• Experience in developing and maintaining CI/CD process for enterprise SaaS and on-prem applications using tools like Git, Gerrit, Jenkins, Maven, Gradle, etc
• Experience with configuration management tools such as Ansible, Chef, Fabric, GIT, Puppet or SaltStack
• Hands-on experience in build and administer VMs and Containers using tools such as Docker, Vagrant, Kubernetes