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…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/frameworksUnderstanding 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 fundamentalsExperience with cloud platforms like GCP, AWS and their respective AI servicesKnowledge of GPU/CPU architecture and distributed computingUnderstanding of containerization (Docker) orchestration (Kubernetes) and CI/CD pipelinesExposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc.) and related performance analysis and tuningAbility to synthesize and analyze data to answer business questions and design , deploy and monitor models wrt technical and functional metrics and report to stakeholders accordinglyAI evangelist with research interests as well as strong history of delivering AI solutions that address business prioritiesAbility 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 fieldExperience in developing and deploying real time AI modelsPrior 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.#AI&DWhere 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 40Equal Employment OpportunityVerizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.Save Saved Open sharing optionsShareRelated JobsSave Saved
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Connect with the best and brightest to help innovate and operate some of the world's largest platforms and networks.Stay in touch.Even if you're not a V Teamer (yet), we'd love to keep you in the loop. We can't help it-connection is kind of our thing. So be sure to sign up to become part of our network.
