Verizon
Website:
verizon.com
Company:
https://www.linkedin.com/company/verizon
Seniority: Associate
Industries: IT Services and IT Consulting
Job details:
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.
As Sr. Engineer Consultant - AI Science you will design, develop and optimize Artificial Intelligence, SLM/LLM and Agentic solutions to resolve diverse real-world problems . This role includes a combination of implementing new algorithms, SLM/LLMs, Agentic design and build, performance/accuracy tuning and analysis, defining APIs, and analyzing functionality coverage to build larger, coherent toolsets and libraries. The ability to work in a multifaceted, product-centric environment with excellent interpersonal skills are required.
What we are looking for:-
- Four or more years of experience in cognitive analytics and AI Modeling.
- Must have experience working in a collaborative environment with global teams to drive AI solutioning of business problems and implement highly optimized AI algorithms.
- Must have hands-on experience in large-scale distributed systems capable of performing end-to-end AI. training and SLM & LLM modeling includes orchestration, fine tuning, model serving in production environment (batch/real time).
- Proven track record of designing, developing and deploying agentic solutions at scale with measurable results mapped to business goals
- Must be able to communicate complex model designs and outcomes in business terms to a non-technical audience.
- Must have Knowledge of GPU/CPU architecture and distributed computing.
- Must have working knowledge in advance Prompt engineering and optimizations techniques.
- Must have Exposure to large-scale AI training, understanding of the compute system concepts. (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning.
- Must have experience in Research and Development: Stay up-to-date with the latest advancements in generative AI, deep learning, and related fields. Contribute to the research and development of novel generative models, exploring new algorithms and methodologies.
- Must have good understanding and ability to explain both the code and the underlying math used in algorithms/models. Must have Proficiency in programming languages such as C/C++, Python, Java, debugging, performance analysis and relevant AI libraries/frameworks (TensorFlow, PyTorch, etc.).
Even Better If You Have
- Advance degree in computer science, Mathematics, Data science or similar field preferred.
- Prior experience with Generative AI techniques applied to Large Language Models And multimodal learning. (Image, Video, Speech etc.). Advance knowledge of mathematics, Statistics and algorithms.
- Experience in GCP/Azure/AWS or any other cloud technology. Hands-on experience with inference and deployment environments would be an asset.
- Experience in Research, prototype, and develop effective tools and infrastructure pipelines.
- Publish innovative results on Github, scientific publications and patents.
- Familiarity with telecommunications industry data and use cases.
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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