ML Engineering Intern – Stylumia Intelligence Technology
Location: Bangalore, Karnataka, India (Hybrid)
Department: Engineering & Technology, AI & Data Science
Job Type: Full-time Internship
About Stylumia
Stylumia is a deep tech company transforming the fashion and lifestyle retail industry through AI-powered decision-making. We eliminate guesswork and subjectivity in forecasting and demand planning by providing consumer-backed insights. Our solutions empower retailers and brands to minimize waste, improve full-price sell-through rates, and drive sustainable growth.
Founded to challenge traditional approaches in retail decision-making, Stylumia has emerged as a global innovation-first Retail AI company. Our platforms are built for scale and daily use by multi-disciplinary professionals across the retail value chain.
Key Responsibilities
- Develop and deploy machine learning models to solve complex retail forecasting and demand planning problems.
- Work on production-ready systems using deep learning, natural language processing, and time-series forecasting.
- Handle large volumes of structured and unstructured data, focusing on data wrangling and analytics.
- Collaborate with cross-functional teams to integrate AI solutions into real-world products.
- Conduct experiments with LLMs (Large Language Models), including fine-tuning and prompt engineering.
- Apply first principles thinking to break down complex problems and deliver innovative solutions.
- Contribute to the research and development of novel AI-driven features and models.
Eligibility Criteria
- Education Required:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, or related quantitative fields.
- Eligible Batches:
2023, 2024, 2025
Preferred Qualifications
- Previous internship experience in ML, NLP, forecasting, or related domains.
- Demonstrated ability to build and deploy ML models through hands-on projects.
- Experience with transformer architectures and recent advancements in deep learning.
- Strong project management skills and the ability to manage multiple priorities effectively.
- Clear, concise communication skills (both written and verbal).
Technical Skills Required
Python, PyTorch, Hugging Face, Machine Learning, Deep Learning, NLP, Time-Series Forecasting, Large Language Models, Prompt Engineering, Data Wrangling, Transformers, Git, REST APIs, SQL
Benefits
- Competitive stipend based on performance and experience.
- Flexible leave policy – take time off as needed without formal restrictions.
- Hybrid work environment – balance in-office collaboration with remote flexibility.
- Work with a collaborative and impact-driven team shaping the future of AI in retail.
- Equal opportunity employer fostering diversity and inclusion.
Ready to solve impactful problems in the fashion and lifestyle industry using cutting-edge AI? Apply now and be part of Stylumia’s mission to reduce global retail waste and improve decision-making.