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

AdTech

• 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

Know More About Us:

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/belonging