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 Overall Platform Rationalization at enterprise level , which is going to enhance the experience for both Data engineers /Datascientist and ML engineers to build world class Solution at scale .

  • Providing technical guidance to existing ML Engineering team on PySpark and Python based model development.
  • Providing application design guidance to modernize existing applications or write new applications and standards for Model Deployment.
  • Collaborating on new application design and implementation.
  • Working closely with Data science and Data Engineering team to build and constantly drive excellence in the way how we Deploy models as part of ML Engineering team.

What we’re looking for...

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

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Five or more years of experience in developing ML Engineering pipeline.
  • Two or more years of experience working on ML Engineering space with knowledge on the Big data space on technologies like Hadoop, Spark, Hive, Pyspark.
  • Experience managing a large data ecosystem.
  • Two or more years of experience in Stakeholder and vendor management.
  • Two or more years of experience in people management, planning.
  • Experience driving and managing data engineering teams of highly skilled people.
  • Experience with cross-team collaboration, interpersonal skills/relationship building, and management.

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

  • Excellent oral and written communication skills.
  • Designed an operating model that fosters reuse and sharing of Reusable assets.
  • Experience on Datarbotot/Domino Datalab and H20 and other MLOPS tools
  • Experience presenting to and influencing functional leaders and stakeholders.
  • Exposure/experience of working on big data migration projects to Cloud (GCP).