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Dist Engr-AI ML Engineering

Location Bengaluru, India
Posted 25-August-2021
The work youll be doing is to support Overall Platform Rationalization at enterprise level, which is going to enhance the experience for both Data engineers /Data scientist and ML engineers to build world class Solution at scale.

Providing technical guidance to GCPs adoption and GCPs services.
Providing application design guidance to modernize existing applications or write new applications.
Collaborating on new application design and implementation.
Working closely with Product Management and Data Engineering to build and constantly drive excellence.

What were looking for...

You are a good team player and having go-getter kind of attitude with good inter-personal skills.
Youll need to have:

Bachelors degree or four or more years of work experience.
Six or more years of relevant work experience.
Experience in developing Enterprise Cloud platform.
Two or more years of Experience hosting an application on GCP using Compute Engine, App Engine, Cloud SQL, Kubernetes Engine, Cloud Storage.
One or more years of experience on GCPDataproc /BigQuery Administration.
Good understanding of cloud design considerations and limitations and their impact on Pricing.
Networking principles and protocols knowledge such as IP subnetting, routing, firewall rules, Virtual Private Cloud, LoadBalancer, Cloud DNS, Cloud CDN, etc.
Experience in a modern scripting language (preferably Python) for automation of build tasks.
Two years or more Experience with Big Data on GCPBigQuery, Pub/Sub, Dataproc, Dataflow.
Experience with infrastructure configuration management tools such as Terraform, Puppet, and Chef.
Two or more years of experience working with: container technology such as Docker, version control systems (Github), build management and CI/CD tools (Concourse, Jenkins), and monitoring tools (App Dynamics, etc.

Even better if you have one or more of the following:

Excellent oral and written communication skills.
Analytical and problem-solving skills with strong attention to detail.
Understanding of Telecom domain and the whole SME.
Designed an operating model that fosters reuse and sharing of Reusable assets.
Experience on GCP/AWS and Cloudtools.
Experience presenting to and influencing functional leaders and stakeholders.
Exposure/experience of working on big data migration projects to Cloud (GCP).
Experience in managing/setting up big data QA and testing teams.
Experience working on and delivering large programs.
Min 2 to 3 Years.

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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