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As Sr. Engineer Consultant - AI Science you will design, develop and optimize Artificial Intelligence, SLM/LLM solutions to diverse real-world problems and implement cutting-edge generative artificial intelligence models and systems. This role includes a combination of implementing new algorithms, SLM/LLMs, 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.
Leading the design, development, and implementation of end-to-end NLP/SLM/LLM solutions using Python, Pyspark, distributed computing framework and cloud platform.
Driving Cognitive AI use cases with cross-functional teams delivering business value
Data mining or extracting usable data from valuable data sources using SQL.
Ability to convert vision into strategy and create an execution plan
Contributing to the research and development of novel generative models, exploring new algorithms and methodologies.
Developing end to end analytical solutions, and articulating insight findings to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations.
Identifying and defining new process improvement and or business opportunities.
Working in collaborative environment with global teams to drive AI solutioning of business problems
Mentoring and guiding junior engineers, fostering a collaborative and innovative team environment.
Working closely with management to prioritize business and information needs.
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.
Four or more years of experience in cognitive analytics and AI modeling.
Experience working in collaborative environment with global teams to drive AI solutioning of business problems and implement highly optimized AI algorithms.
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).
Ability to communicate complex model designs and outcomes in business terms to a non-technical audience.
Knowledge of GPU/CPU architecture and distributed computing
Working knowledge in advance Prompt engineering and optimizations techniques
Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning
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.
Understanding and ability to explain both the code and the underlying math used in algorithms/models. 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 related field.
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.
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.
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