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Principal AI Engineer- AdTech Job Opening In Bangalore – Now Hiring Target


Job description

**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:**

+ 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

Required Skill Profession

Other General


  • Job Details

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Unlock Your Principal AI Potential: Insight & Career Growth Guide


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Are You Looking for Principal AI Engineer AdTech Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Target adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Principal AI Engineer AdTech Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bangalore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Principal AI Engineer AdTech?

Key qualifications for Principal AI Engineer AdTech typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Principal AI Engineer AdTech Job Success

Target interview tips for Principal AI Engineer  AdTech

Here are some tips to help you prepare for and ace your Principal AI Engineer AdTech job interview:

Before the Interview:

Research: Learn about the Target's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal AI Engineer AdTech interview at Target, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Target's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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