Sr Engineer, Generative AI

Uber

8 - 10 years

3 - 14 Lacs

Bengaluru Karnataka India

Posted:5 hours ago| Platform: Foundit logo

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Skills Required

Data Analysis Model Deployment

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Customer Obsession AI team's mission is to create highly efficient and magical support experiences for Uber customers by leveraging the power of data and AI. We specialise in NLP, GenerativeAI and Computer Vision. We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation systems, and reliable infrastructure for deployment scale. We are looking for candidates with deep expertise in NLP / GenAI and end-to-end experience launching large scale AI models in production.
You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end to end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value.

What the Candidate Will Do

Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs.
Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production.
Explore novel ideas and innovative solutions that can lead to a step change in our products.

Basic Qualifications

Master's degree in Computer Science or closely related field.
Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems.
Coding chops, clean, elegant, bug-free code in languages like Java, GO
Strong desire to learn and grow, while building the best-in-class systems

Preferred Qualifications

Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI
Contributed to the broader technical community through tech talks, publications, open source projects, or other ways.
Have a proven track record working across an organization not just across teams.

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