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Artificial Intelligence Engineer for Personalized Product Recommendations
2 weeks ago
We are seeking a highly skilled Artificial Intelligence Engineer to join our team and help us revolutionize the way customers discover products. The ideal candidate will have a strong background in machine learning, experience with building recommendation systems, and a passion for delivering personalized experiences.
Key Responsibilities:
- Design and develop scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
- Develop user profiling models using clickstream and behavioral data.
- Leverage AI-driven product tagging to enhance metadata quality and retrieval.
- Analyze macro and micro fashion trends to influence product rankings.
- Extract insights from large-scale user data and convert them into actionable models.
- Work closely with engineers and product managers to integrate models into production.
Required Skills and Qualifications:
- 3+ years of experience in artificial intelligence, ideally in e-commerce or consumer-tech.
- Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders).
- Proficiency in Python and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data analysis tools such as SQL, Pandas, and Jupyter.
- Strong grasp of personalization techniques and user segmentation strategies.
- Solid understanding of product ranking using behavioral data and trend signals.
- Experience working with large-scale data pipelines and A/B testing frameworks.
Preferred Qualifications:
- Experience in the fashion or lifestyle e-commerce domain.
- Knowledge of modern MLops workflows and model monitoring tools.
- Familiarity with cloud platforms (AWS, GCP) and tools like Airflow or DBT.
About Us:
We are a cutting-edge technology company leveraging AI to transform how customers discover products. Our platform integrates intelligent search and recommendation systems to deliver a personalized shopping experience.
Role Overview:
The successful candidate will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
This is an exciting opportunity to work with a talented team of engineers and product managers to drive innovation and growth.
