When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

The work you'll be doing is to support ML Engineering at enterprise level, which is going to enhance the experience for Data scientist and ML engineers to build world class Solution at scale.

  • Working with Data scientist in deploying machine learning / AI models end to end and follow MLDC lifecycle.
  • Working on GCP Cognitive Services leveraging different type of data sources dialogflow -Vision, TTS, STT, NLP, Video intelligence APIs.
  • Working with architects implementing large scale MLE platforms on Cloud.

What we’re looking for...

You'll need to have:

  • Four or more years of work experience.
  • Four or more years of relevant work experience.
  • One or more years of experience in leveraging GCP Cloud Function/API Gateways services for AI/ML model consumption and inferences or AWS inference layer with good experience on k8s cluster.
  • One or more years of experience in leveraging GCP services (storage, compute, data stores, etc.) for solution design.

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

  • A drive to learn and master new technologies and techniques.
  • Excellent written and verbal communication skills for coordinating across teams.
  • Good to have Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.)
  • Good knowledge on MLOPs / CI/CD using GCP / External tools.