Senior Engineer Consultant-AI Science

Job Description

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

What you’ll be doing...

The role requires expertise in developing next-generation AI/ML models to improve network planning, engineering, and assurance platforms thereby improving the customer experience.

Network AI as a core competency, and you will lead the AI use cases to improve network visibility and proactive maintenance and monitor performance degradations across the global network footprint. Help internal Network monitoring teams perform smooth day-to-day operations by building AI models to improve efficient troubleshooting.

You will be responsible for:

• Driving Network AI use cases with cross-functional teams delivering business value.

• Identifying and defining new process improvement and or business opportunities.

• Data mining or extracting usable data from valuable data sources.

• Recognizing potential Gen AI use cases and merge it with the Verizon standard of operations.

• Managing internal/external stakeholders and executive leadership.

• Building a culture of innovation with cross-functional teams.

• Participating in internal and external forums.

• Mentoring and Molding team with guidance and support in modelling and delivery.

• Working closely with management to prioritize business and information needs.

• Gathering / Focusing on functional and non-functional requirements from business stakeholders.

• Articulating the story behind the solution in every stage through executive presentations.

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Experience with modelling techniques, applications, and implementations using Statistics (Hypothesis testing, Discriminant analysis, Linear/Logistic regression, PCA, vector analysis), Forecasting (Time Series), Machine Learning (Classification, Clustering, Collaborating filtering) and AI Algorithms (GenAI/NLP, Deep Learning, Cognitive Analytics, Optimization, Non-Linear Algorithms).

• Experience working with GCP, Big Query/SQL, Python and Spark

• Experience in Prompt Engineering

• Experience in writing complex queries to extract the data to build and derive the model features to draw business insights.

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

• Two or more years of experience in the telecom network domain.

• Two or more years of experience with developing and deploying machine learning models to production.

• Experience in building scoring models, and anomaly detection solutions.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.