Principal AI Engineer-Calibrate

About Us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of Americas 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 MarTech. Target is reinventing their Marketing solutions with Data Sciences at the center. We are driving for 1-1 personalization of Marketing content including the creation, personalization, and orchestration of that content. We are looking for innovative and driven individuals with strong engineering experience who can help us create the new Marketing universe for Target guests. This role will work to:

• Architect, Integrate, and optimize algorithmic decision making
• Influencing roadmaps and driving their execution with a team of talented scientists and engineers.
• Developing a multi-year vision of responsive, personalized marketing within the MarTech platform
• Developing and delivering high scalable low latency AI & ML deployments
  
  

• Architecture to create a set of connected tech capabilities from content planning to content orchestration.
• How to productionize algorithms with low latency and high throughput
• Technology and algorithms to upgrade batch processes to always-on MarTech capabilities
  
  

• Experience in low latency ML engineering in AdTech/ MarTech/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
  
  

• 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 including GenAI
• 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, 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