Competitive
Data Science
India \- Bangalore IT Capability Centre
Senior AI Engineer
Join Dyson’s global IT data community and play a key role in designing, building, and deploying scalable Generative AI systems. You’ll work in agile squads alongside data analysts, product managers, and AI/ML Ops engineers to deliver production\-grade AI solutions that drive business impact and innovation.
WHO YOU ARE
You are a hands\-on engineer who thrives on solving complex problems with elegant, scalable solutions. You’re passionate about building AI systems that go beyond prototypes—systems that are robust, observable, and deliver real value in production. You enjoy working collaboratively, learning continuously, and pushing the boundaries of what Generative AI can achieve in a business context.
You prioritize continuous learning—whether it's exploring new frameworks, experimenting with novel architectures, or deepening your understanding of AI infrastructure. You’re driven by curiosity and growth, and you actively seek opportunities to expand your skills while contributing to impactful, real\-world solutions.
WHAT YOU'LL DO
THE DYSON TECH STACK
Continuous learning is central to this role, empowering you to stay ahead of emerging technologies and contribute meaningfully to Dyson’s culture of innovation. You’ll be encouraged to explore new tools, frameworks, and methodologies, and to share your learnings with the wider team. You’ll work with a range of tools and platforms, including:
Our global reputation is priceless, and it always hangs on what we do next. Dyson is a unique technology enterprise. We are authentic, different and pioneering. Our biggest category today didn’t even exist a few years ago. Our next biggest category? That could be where you come in.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.
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