Asurion is looking to leverage AI and generative AI solutions to increase their reach, cover more channels, and empower their agents in providing best-in-class service.
Requirements
- Solid experience implementing and fine tuning generative AI large foundation models models (LLMs), with a strong understanding of NLP techniques and frameworks such as embeddings, GPT, or Transformer models
- Knowledge of cloud computing and AI deployment (AWS, Google Cloud)
- Solid Knowledge in Deep Learning and/or Machine Learning gained through academic coursework or any amount of internship/work experience.
- Knowledge in Statistics, optimization theoretical concepts and/or optimization problem formulation gained through academic coursework or any amount of internship/work experience
- Solid knowledge in Python programming gained through academic coursework or any amount of internship/work experience.
- Your technical excellence, specifically in latest Large Language Models
- Your experience in tweaking genAI prompts to enforce expected behavior
Responsibilities
- Deliver end-to-end reliable and scalable AI features in production
- Develop prototypes for new data product ideas and build data pipelines/flask apps for deployment
- Experiment with latest generative LLMs to build next generative applications and boost existing ones
- Design and iterate on genAI prompts based on performance metrics and user feedback to ensure high-quality outputs and enhance overall system performance
- Leverage deep understanding of modern machine learning techniques and their mathematical underpinning to regularly invent new and novel approaches to solve problems
- Follow cutting-edge NLP research and leverage open-source frameworks to develop self learning models, in a full automation or backed by human agents.
- Utilize our humans in the loop to continuously train and improve the responses offered to customer inquiries
Other
- Ability to drive a key business area and prioritize corresponding efforts strategically
- Provide Data Science updates to senior executive audience
- Work with stakeholders to identify new Machine Learning/AI opportunities
- Provide mentorship and guidance to other fellow data scientists
- Ability to work and collaborate with different functions of the organization, from operation teammates, to product managers and engineers
