Principal Engineer – AI Science
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. What you'll be doing… Develop, implement, and optimize AI and machine learning (ML) solutions to solve business challenges; design and build scalable ML models to meet business needs, ensuring the models can handle increasing data volume and complexity; provide technical thought leadership on model architecture, delivery, monitoring and measurement of model performance throughout the lifecycle; work in a collaborative environment with various teams to address business problems by developing AI/ML-driven solutions; drive discussions on solutioning for business challenges, including translating business requirements into technical specifications; analyze and model both structured and unstructured data; present data-driven insights and recommendations to leadership, articulating modeling concepts to a non-technical audience; act as a mentor for junior data science team members, providing guidance in AI/ML techniques; drive the growth of the data science practice by meeting business objectives, responding to model Proof of Concept requests, and contributing to the development of broader AI/ML ecosystem; optimize business processes by leveraging AI-driven models and ensuring the models provide measurable value to operations.
Requirements
- Bachelor’s or foreign equivalent degree in Computer Science, Artificial Intelligence, Interdisciplinary Data Science, Machine Learning, Statistics, or a related field, and 6 years of progressive, post-baccalaureate experience in the job offered or as a Data Scientist, Machine Learning Engineer, Data/ML Analyst, or in a related/similar position.
- In lieu of a Bachelor’s degree and 6 years of progressive, post-baccalaureate experience, employer will accept a Master’s or foreign equivalent degree in the fields stated above and 4 years of experience in the above.
- Experience therein to include 4 years in machine learning model development and deployment, using deep learning and transformer-based architectures, Python, and PyTorch or TensorFlow
- 3 years with natural language processing, SQL, Cloud platforms, data analytics, data analysis and statistical modeling
- 2 years with data processing tools such as PySpark, recommendation and forecasting algorithms, and applied statistics
- Must Reference: Job # SHWANR-W
Responsibilities
- Develop, implement, and optimize AI and machine learning (ML) solutions to solve business challenges
- Design and build scalable ML models to meet business needs, ensuring the models can handle increasing data volume and complexity
- Provide technical thought leadership on model architecture, delivery, monitoring and measurement of model performance throughout the lifecycle
- Work in a collaborative environment with various teams to address business problems by developing AI/ML-driven solutions
- Drive discussions on solutioning for business challenges, including translating business requirements into technical specifications
- Analyze and model both structured and unstructured data
- Present data-driven insights and recommendations to leadership, articulating modeling concepts to a non-technical audience
- Act as a mentor for junior data science team members, providing guidance in AI/ML techniques
- Drive the growth of the data science practice by meeting business objectives, responding to model Proof of Concept requests, and contributing to the development of broader AI/ML ecosystem
- Optimize business processes by leveraging AI-driven models and ensuring the models provide measurable value to operations
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What This Job Offers
Job Type
Full-time
Career Level
Principal
