ML DevOps Engineer
Engineering | Bangalore, India | Full Time
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