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# Distinguished Engineer - ML/AI Engineer

- **Company:** Verizon Communications Inc.
- **Location:** Milton, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $137,000.0 - $263,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, A/B Testing, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Information Engineering, R (Programming Language), Python (Programming Language), Machine Learning, Search Technologies, Software Deployment, SQL Databases, Google Cloud, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Multi-Agent Systems, Deep Learning, Agentic-AI, Scikit Learn, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Agent2Agent Protocol
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/02e3ad30-0d6f-4e90-8d36-e3c29d73fdb5

## About the Role

You are a data science professional who thrives on solving complex analytical problems with minimal guidance. You have a proven track record of managing high-priority machine learning projects, and you excel at collaborating directly with business partners to deliver data-driven customer experiences that impact the bottom line., * Bachelor's degree or six or more years of work experience.

 * Eight or more years of relevant experience required, demonstrated through work experience and/or military experience.
 * Experience working on high-priority or high-visibility technical initiatives within a corporate setting.
 * Experience designing and measuring A/B tests or uplift models for targeting.
 * Strong expertise and experience in machine learning/deep learning algorithms, including transformer, transfer learning, NLP, expertise in using Pytorch and scikit-learn packages, as well as probability calibration and time-based validation.
 * Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
 * Experience with cloud platforms (e.g., Google Cloud Platform, AWS, or Azure) and production MLOps tools for tracking and maintaining model workflows.

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

 * Knowledge of LLM agent architecture: Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation RAG , MCP, A2A protocols, ONNX-based embeddings, vector databases and semantic search.
 * Knowledge of cloud-scale data engineering: Big Query pipelines, Google Cloud Platform (Cloud Run, Vertex AI).

## Description

As a Dist Engr-AI Engineer within our team of propensity modelers, you will be responsible for the technical execution of Verizon's transition to a modern, agile pod model. You will work directly at the critical touchpoints of the customer lifecycle and high-impact trigger events, providing the advanced machine learning support needed to unlock deep microsegmentation and hyper-personalization. Your work will directly empower marketers, optimize customer journeys, and drive down churn across our most critical customer segments., * Leading the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions.

 * Building, training, and deploying our high-priority propensity models to predict customer behaviors, churn risk, and key lifecycle triggers.
 * Drive consolidation of overlapping propensity models into a shared customer state and unified models, reducing operational and development cost.
 * Operating independently to manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.
 * Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists.
 * Owning the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance.
 * Presenting complex model insights, performance metrics, and strategic recommendations clearly to senior leadership and cross-functional business partners., In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours
40