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Stylumia Careers 2025 | Join as an AI/ML Engineer – Build the
Future of Retail AI |Placement Officer
🧠 About Stylumia
Stylumia is not just another tech
company — it's a deep tech innovation house transforming how fashion
and lifestyle retail operate. Founded to address the huge $750+ billion
global wastage due to subjective forecasting and planning, Stylumia
leverages AI to augment human decision-making with consumer-led
intelligence.
From demand forecasting to trend
spotting, Stylumia empowers retailers with data-backed insights, reducing
waste and promoting sustainable fashion. 🌱
💼 Position: AI/ML Engineer (Early Career/Fresher Role)
📍 Location: Hybrid
(India-based)
🧠 Experience: 0–2 years (Internship/project experience
preferred)
📅 Application Year: 2025
🕒 Work Type: Full-time | Hybrid | Flexible leave
🔍 Key Responsibilities
·
Build and
scale production-ready AI/ML systems for real-world retail forecasting.
·
Use first
principles thinking to solve hard problems in demand prediction and fashion
analytics.
·
Work with Large
Language Models (LLMs) and apply prompt engineering and fine-tuning
techniques.
·
Collaborate
with diverse teams in product, data science, and engineering.
·
Handle structured
and unstructured datasets and perform data wrangling at scale.
·
Research and
deploy Transformer-based models, NLP, and forecasting
algorithms.
·
Drive AI
innovation across value chains to minimize industry wastage.
🛠 Required Skills
✔️ Strong Python skills
✔️ Hands-on with PyTorch, Hugging Face, or similar ML frameworks
✔️ Solid understanding of Transformer architectures, LLMs, and forecasting
✔️ Experience with data analysis, visualization, and wrangling
large datasets
✔️ Problem-solving mindset using first principles
✔️ Good communication and collaboration skills
✔️ Previous projects, internships, or Kaggle participation a bonus
🎁 Perks & Benefits
🎯 Competitive Pay
🌐 Hybrid Work Setup
📆 No Leave Policy – Trust-based time-off model
🤝 Empowered work culture
🌈 Equal opportunity, diversity-focused workplace
#Stylumia #AIJobs2025 #MLJobsIndia
#LLMJobs #FashionTech #PythonJobs #DeepLearning #SustainableRetail
#DataScienceIndia #RetailInnovation
🙋♀️ Frequently Asked Questions (FAQs)
❓ Q1: Who can apply for the Stylumia AI/ML Engineer role?
A: Anyone with 0–2 years of
experience in ML, Python, or data science. Prior internships or academic
projects in ML/AI are a plus.
❓ Q2: Is this a remote role?
A: Stylumia offers a hybrid setup,
meaning a mix of remote and in-office days depending on project needs.
❓ Q3: Is there a leave policy?
A: There is no fixed leave policy.
Stylumia operates on a trust-based leave system, prioritizing employee
well-being and autonomy.
❓ Q4: Do I need prior work experience in LLMs?
A: Not mandatory, but a good
understanding or hands-on project experience with transformer models or
prompt engineering is highly preferred.
❓ Q5: What makes Stylumia unique as an employer?
A: Stylumia combines AI innovation
with purpose, helping reduce industry waste in fashion retail. Its flat
culture, freedom-driven policies, and deep tech focus make it
stand out.
✅ Conclusion: Build the Future of Retail with Stylumia 🌟
If you’re a passionate technologist
ready to redefine retail with deep learning, LLMs, and AI-powered
forecasting, Stylumia is your playground. With a mission to reduce
global wastage in fashion retail, Stylumia provides the perfect environment
to learn, innovate, and create a real-world impact.
🎯 Whether you're fresh out
of college or have some real-world internship chops, this role is your chance
to work at the intersection of AI and sustainability. Apply today and be
a part of the change! 🌍💡
🔗 Apply Link: Click Here To Apply for Stylumia
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Disclaimer
The recruitment details shared above are for
informational purposes only and have been obtained from the organization’s
official website. We do not guarantee any job placements. Recruitment will be
conducted according to the company's official process. We do not charge any
fees for sharing this job information.
#Stylumia #AIJobs2025 #MLJobsIndia #LLMJobs #FashionTech #PythonJobs #DeepLearning #SustainableRetail #DataScienceIndia #RetailInnovation
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