Target India
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Bengaluru · Hybrid · 3-6 Yrs · Aug 19
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
Build, deploy, and maintain AI/ML applications.
Responsibilities
- Collaborate with Data Scientists and engineers.
- Write maintainable, well-tested code.
- Ensure AI applications are secure and reliable.
Qualifications
- 4-year degree or equivalent experience.
- 3+ years of hands-on software engineering experience, including experience building or supporting production systems.
- Strong proficiency with Python and experience with AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools.
- Understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation, performance optimization, and production deployment considerations for AI systems.
- Ability to break down business and technical requirements into clear engineering tasks and deliver practical solutions in collaboration with cross-functional partners.
- Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, and business stakeholders.
- Ability to work independently on defined workstreams, collaborate effectively with senior technical partners, and contribute to strong engineering practices within the team.
- Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards.
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value.
- Life at Target- https://india.target.com/
Benefits
- Culture- https://india.target.com/life-at-target/belonging
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