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...
Designing and implementing robust and scalable Generative AI services/solutions
Designing, developing, and deploying end-to-end AI/ML solutions, including fine tuning pipelines, model training, deployment, monitoring, and optimization.
Staying abreast of the latest advancements and trends in Generative AI, continuously evaluating and integrating emerging technologies.
Collaborating closely with cross-functional teams, including product, engineering, and business stakeholders, to translate business requirements into innovative AI/ML solutions.
Working with leads in championing the adoption of AI/ML best practices, ensuring the development and deployment of secure, reliable, and ethical AI systems.
Working on Model-serving runtimes like vLLM or TensorFlow Serving (TFX) or Triton Inference Server
Working on Model-serving platforms like Cloud-provider platforms (Amazon SageMaker, Vertex AI, Azure Machine Learning) KServe, Ray.
What we’re looking for...
We are seeking an experienced and highly motivated AI/ML Engineer to work on a world class Generative AI platform. In this role, you will be part of development and implementation of cutting-edge AI/ML solutions, leveraging your deep expertise to drive innovation and establish industry best practices.
You’ll need to have:
Bachelor's degree or four or more years of work experience.
Three or more years of relevant work experience.
Three or more years work experience in designing, and implementing large-scale AI/ML systems in a production environment.
Deep understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
Experience with ML Ops tools and best practices.
Contributions to open-source AI/ML projects.
Hands on experience with Python and Container driven Deployment process
Monitoring and Observability skills
Familiarity with telecommunications industry data and use cases.
Even better if you have one or more of the following:
Excellent communication, interpersonal, and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
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
0Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
