Principal Engineer-AI Science

Job Description

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 V Team Life.

As Principal-AI Science you will lead, own and drive end to end solutions for NLP/GenAI use cases with the help of junior data scientists

You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities.

What you'll be doing:-

• Designing and building scalable cognitive models to meet the needs of business.

• Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices, particularly in cognitive/Gen AI solutions

• Working in a collaborative environment with global teams to drive solutioning of business problems

• Analyzing and modelling both structured and unstructured data from a number of distributed client and publicly available sources.

• Assisting with the mentorship and development of Junior members. Drive team towards solutions.

• Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices.

What we’re looking for:

You'll need to have:-

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

• Six or more years of relevant work experience.

• Experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc.

• Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems

• Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python.

• Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face api’s.

• Working knowledge of various supervised and unsupervised ML algorithms . Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall.

• Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning.

• Experience with RESTful, JSON API services.

• Working knowledge on these: Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.

• Experience in analyzing Live Chat/call conversation with agents.

• Expertise in Python, Sql, PySpark, Scala and/or other languages and tools.

• Understanding/knowledge of validation framework for generative model output and perspective on future ready systems to scale validation

• Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models

• Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices.

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

• Prior experience in working on cloud platforms like GCP and AWS.

• Advanced degree in Computer Science, Mathematics or similar field.

• Papers and patents demonstrating competency in cognitive modeling.

• Awareness on building frameworks and guidelines for ethical use of cognitive AI.

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.