Sr AI Engineer- AdTech

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.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

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 different 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 Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

Position Overview

Target Data Sciences is offering an exciting opportunity to solve state of the art problems in retail. The opportunity will allow you to work on models using transactional behaviour and develop, deploy and maintain algorithms to improve customer experience. In this role, you will have access to the best tech stack in retail along with working with a set of passionate co-workers committed to creating next gen AdTech capabilities. You can expect to be involved in:

• Brainstorming and co-developing solutions on ad relevancy, real time campaign optimization and generating optimized campaign plan

• Deploying highly scalable and low latency models and interfacing/ publishing model outputs to various applications

• Creating a best-in-class reusable framework for model logging and monitoring

• Deploying algorithms and solutions in open-source platform

• Working with a talented team of marketeers and collaborating with scientists and engineers

Example Problem Statements:

• Determine a set of optimal tactics to create media plan and manage inflight campaign performance?

• Given digital ad variations how do we optimize ad impressions?

• How do we set prices for digital product ad slots to achieve higher revenue?

• How to systematically scale and automate models impacting millions of guests?

About You

• Computer Science graduates from reputed engineering institutes with 3+ years of experience

• PhD with relevant experience of 1+ years

• Ability to use frameworks and tools to deploy and monitor models

• Ability to write modular code and data pipelines which can be automated and scaled

• Great communication skills and experience in working with clients

• Good programming skills in Python/ java based languages

• Knowledge of engineering best practices, data manipulation and retrieval and integration patterns between systems (like API)

• Ability to work with a team(s) to drive the work in a collaborative environment

Know More About Us here:

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