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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.

What you'll be doing…

As Sr. Engineer Consultant - AI Science you will will play a leading role in building, deploying and managing end to end AI Services to power traditional and generative AI use cases.

You'll need to have:

  • Bachelors degree or four or more years of work experience.

  • Four or more year of relevant work experience.

  • Four or more years as data scientist with exposure to full stack model development, deployment, evaluation, optimization and scaling.

  • Experience on programming skills - proficiency in Python, PySpark, Java, C++ and R relevant AI libraries/frameworks

  • Understanding of SOTA algorithms, especially in personalization, cognitive and generative models. Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models.

  • Familiarity with multi modal data, vector and graph databases and data warehousing fundamentals

  • Experience with cloud platforms like GCP, AWS and their respective AI services

  • Knowledge of GPU/CPU architecture and distributed computing

  • Understanding of containerization (Docker) orchestration (Kubernetes) and CI/CD pipelines

  • Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc.) and related performance analysis and tuning

  • Ability to synthesize and analyze data to answer business questions and design , deploy and monitor models wrt technical and functional metrics and report to stakeholders accordingly

  • AI evangelist with research interests as well as strong history of delivering AI solutions that address business priorities

  • Ability to communicate complex model designs and outcomes in business terms to a non-technical audience.

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

  • Advanced degree in computer science, Mathematics, Data science or similar field

  • Experience in developing and deploying real time AI models

  • Prior experience with Generative AI techniques applied to Large Language Models And multimodal learning (Image, Video, Speech etc.).

  • Repository of innovative AI research and applications in Github, scientific publications and patents.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

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.


Company benefits

Open to part-time employees
Dental coverage
Health insurance
Fertility benefits
Eye Care Support
Family health insurance
Accrued annual leave
Pregnancy loss leave
Life insurance
Adoption leave
Health assessment
Shared parental leave
On-site gym
401K
Employee discounts
Lunch and learns
Teambuilding days

We need to ask employees of Verizon what it's like to work there before we assign the company FlexScore®.

Location flexibility
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Hours flexibility
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Autonomy
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Working at Verizon

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