- 36 years of experience in ML, data science, or a related field, with handson expertise in building, deploying & improving search and recommendation systems (preferably for largescale B2C companies)
- Quick learner and technical problemsolving capabilities
- Prior experience working in fastpaced startups is a big plus
- Collaborate effectively with a small, closeknit team
- Demonstrate a passion for fashion and lifestyle trends
- Show a proactive attitude towards learning and implementing AI/ML technologies
- Communicate openly and transparently with team members and stakeholders
- Introductory call
- Technical Assignment and Discussion
- Technical Round
- Cultural Round
- Directly influence the company's direction and product evolution
- Experience rapid growth through handson challenges
- Your contributions will have a clear, visible impact
- ESOPs that can create a large financial outcome for you
- Work directly with the founders on key company initiatives
- Foster deep relationships in a tightknit team
- Potential for rapid role advancement and leadership opportunities
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Machine Learning Engineer - Bangalore, India - Flexiple
Description
About Alle :
At Alle, we are building an AI-powered fashion & lifestyle assistant that helps users discover personalised information & inspiration for their lifestyle goals.
We're assembling the founding team and are looking for an ML Engineer/Data Scientist with experience building Search & Recommendation systems.
Alle is venture-backed by the top VCs & angels in India & US.
Job Roles and Responsibilities :
- System Development : Design, develop, and deploy systems for search and recommendation systems tailored to user preferences and behaviours.
- Data Analysis & Modelling : Analyse complex datasets to uncover insights and patterns that inform model development. Implement and test various search and recommendation algorithms to improve system performance.
- Optimisation & Scaling : Optimise existing machine learning models for performance and scalability. Ensure systems can handle increasing volumes of data and user queries efficiently.
- Cross-functional Support : Collaborate with product managers, engineers, and designers to integrate these systems into the product, ensuring a seamless and impactful user experience.
Cultural Expectations :