Data Scientist

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. 

Team Overview 

Our Generative AI team oversees the development of Target specific use cases which are of strategic importance to Target. We also support various teams within Target so that they will be able to build products as per Target standards regarding use of responsible AI.  

Position Overview 

As a Principal AI Engineer - Advanced AI, you'll join Target's Advanced AI team, a centralized group focused on building and owning capabilities that use advanced AI technologies to drive automation, insight, and action across core business workflows. In this role, you'll provide deep technical leadership across enterprise AI initiatives by partnering with engineering, product, and business teams to shape scalable solution patterns, accelerate development, and deliver high-impact AI applications that optimize business workflows and create measurable value.

You will help design, build, deploy, and scale end-to-end AI solutions, including architecting agentic and LLM-powered systems, evaluating and selecting the right models and frameworks, and establishing strong observability, evaluation, and engineering practices to ensure solutions are production-ready, maintainable, and well-documented. Given the pace of change in this space, you will also stay current on emerging technologies, recommend tooling and architectural approaches, publish learnings for the team and broader organization, and influence technical direction and engineering standards across Advanced AI initiatives. We utilize Agile principles, follow best-practice software design, participate in code reviews, and create maintainable, well-tested codebases with relevant documentation.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. 

About You:

• PhD or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred

• Deep experience designing and delivering real-world AI and machine learning solutions including LLM-based, agentic, or other advanced AI systems in production environments

• 10 plus years of demonstrated hands-on experience in software engineering and applied AI/ML development - including Python and modern ML / deep learning frameworks such as PyTorch, TensorFlow or similar tools

• Extensive experience with AI engineering tooling and platforms such as agent development frameworks, model APIs, evaluation and observability frameworks, cloud ML platforms, containers, and orchestration technologies

• Strong understanding of system design, model and architecture tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems

• Experience building scalable, maintainable, and well-tested services or platforms including version control, CI/CD, code review practices, and operational monitoring

• Ability to translate ambiguous business problems into clear technical approaches and create strong technical documentation, narratives, and recommendations for a range of audiences

• Excellent communication and influencing skills, with the ability to explain complex technical concepts to both technical and non-technical partners and leaders

• Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards in a fast-evolving domain

• Collaborative team player with experience working effectively across functions, organizations, and geographies, and with a demonstrated commitment to continuous learning and knowledge sharing

Know More About Us here: 

• 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