Principal AI/ML Engineer

VerizonTemple Terrace, FL
Hybrid

About The Position

When you join Verizon, you want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

Requirements

  • Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, Information Technology, or a related field and 6 years of progressive, post-baccalaureate experience in the job offered or as a software engineer, database engineer/administrator, consultant, or in a similar/related position.
  • 6 years with a scripting language like Python, Unix Shell, Perl, or JavaScript for automation of build tasks.
  • 2 years in hosting an application on GCP (Google Cloud Platform), working with Big Data, PySpark, Jupyter, Kubernetes Engine, CI/CD tools like Concourse or Jenkins, and monitoring tools like App Dynamics, NewRelic, or Grafana.
  • 2 years working with large language models (LLMs), VectorDB, GraphDB, and finetuning LLMs, and model performance evaluation, including Retrieval, Generation, and other GenAI use cases.

Responsibilities

  • Responsible for AI/ML applications implementation, performance tuning, and scaling (20%).
  • Lead the cloud solutions planning, configuration, deployment, and operation (20%).
  • Provide application design guidance to modernize existing applications or write new AI applications (20%).
  • Lead reporting and analytical systems to solve Big Data problems that drive customer satisfaction throughout our business (10%).
  • Build and handle machine learning pipelines on a Hadoop cluster to support any kind of model deployment on streaming or batch data using tools like PySpark and Jupyter Notebook (10%).
  • Investigate, design, test and implement efficient software solutions (10%).
  • Support new initiatives in 5G and Intelligent Edge Network work streams (10%).

Benefits

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