Target India
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Bengaluru · Hybrid · 10-13 Yrs · Aug 15
General Merchandise & Superstores · 10000+ Employees · Minneapolis, US
From our Minneapolis-based headquarters to around 1,800 stores and 35 distribution centers across the U.S., Target offers a world of possibilities in an environment that empowers its team members to innovate and contribute ideas. Join a company that’s focused on moving forward to what’s next while giving back to the communities they serve. Since 1946, Target has given 5 percent of its profit through community grants and programs; today, that giving equals more than $4 million a week. As extended headquarters, nearly every aspect of Target’s business is represented in Bangalore, and a strong connection to HQ means ideas and results flow seamlessly across the globe. The Target in India team works on some of our most important strategies, and also leads our efforts around AI, machine learning, in-house engineering and data science strategies.
Hiring: Engineering
What employees say
+ Work life balance, Flexibility, Great culture
− Less growth in career development
More reviews on the company profile.
Interview experience · Apprentice Tech
1. I got an email of shorlisting and to complete online assessment. Which included MCQs and 2 coding questions 2. Post completion approx after 2 weeks I got interview invite. But by chance it got delayed and finally they
Easy difficulty · Bengaluru · 374 reports
More interview insightsJob description
Overview
Principal AI Engineer-Advanced AI
Responsibilities
- Design, build, deploy, and scale end-to-end AI solutions.
- Provide deep technical leadership across enterprise AI initiatives.
- Evaluate and select the right models and frameworks.
Qualifications
- 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
- 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
- Life at Target- https://india.target.com/
Benefits
- Culture- https://india.target.com/life-at-target/belonging
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