Principal AI Engineer

About Us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Pyramid Overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on

Team Overview

Target Data Sciences is offering an exciting opportunity to solve state of the art problems in AdTech . Target’s Roundel group is emerging as one of the biggest RMN players in US ad-tech ecosystem. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with deep AdTech science and engineering experience who can make a change in AdTech development. If you are that person, you can expect to be involved in :

• Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform
• Influencing roadmaps and driving its execution with a team of talented scientists
• Developing a multi-year vision of embedding science with AdTech platform and collaborating with engineers and science team to bring it to life
• Architecting and developing highly scalable low latency AI and ML deployments

Example Problem Statements :

Expected Skills :

Preferred domain experience :

Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc.

About You :

Know More About Us : Life at Target-

Benefits-

Culture-