Senior Engineer Consultant-AI Science
23 hours ago
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…
As Consultant - AI Science you will play a key role in building, deploying and managing end to end AI Services to power traditional and generative AI use cases.
- Building and deploying large scale foundational models using ML/DL and cognitive
- Managing model design and best practices for model development end to end
- Playing a key role in training, fine tuning and deploying generative models and use cases in production
- Building and training statistical models and machine learning algorithms
- Driving data-derived insights across the wide range of problem statement across business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
- Directing the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
- Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling
- Performing tasks related to Operationalization - eg wrapper script, REST service, Trigger, Monitoring etc.
- Preparation of all the supporting documents and reports
- Mentoring/Guiding members in the team on technical aspects, on need basis.
What we are looking for: -
You'll Need To Have
- Bachelor's degree or four or more years of work experience.
- Four or more years of relevant work experience.
- Three 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 communicate complex model designs and outcomes in business terms to a non-technical audience.
Even Better If You Have
- 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.).
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
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
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