Principal AI Engineer- AdTech

About Us

As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.

Overview about TII

At Target we have a timeless purpose and a proven strategy. And that hasnt 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 Targets global team and has more than 4000 team members supporting the companys 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 youll be challenged to harness Targets 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. Targets 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:

• How to productionize algorithms with sub 30ms latency and high throughput

• Technology and algorithms for real time algorithms on ad serving

• Architecture to create a set of connected tech capabilities from media planning to media optimization and measurement.

Expected Skills:

• Experience in low latency ML engineering in AdTech/ Search/ Recommender Systems

• Technical proficiency architecting deploying and maintaining low latency distributed ML applications

• Strong collaborator and mentor

• Proficient in deployment in cloud and creating highly optimized ML pipelines

Preferred domain experience:

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

About You:

• Computer Science graduates from reputed engineering institutes with 10 years of experience in data science artificial intelligence

• PhD with relevant experience of 7 years of experience

• Good knowledge and experience developing optimization simulation and statistical models

• Strong analytical thinking skills. Ability to creatively solve business problems innovating new approaches where required

• Strong hands-on programming skills in Python SQL Hadoop/Hive. Additional knowledge of Spark Scala R Java desired but not mandatory

• Good working knowledge of mathematical and statistical concepts MILP algorithms and computational complexity

• Passion for solving interesting and relevant real-world problems using a data science approach

• Experience in implementing advanced statistical techniques like regression clustering PCA forecasting (time series) etc.

• Able to produce reasonable documents/narrative suggesting actionable insights

• Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations graphs and narratives

• Self-driven and results oriented; able to meet tight timelines

• Strong team player with ability to collaborate effectively across geographies/time zones

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