Personalized Recommendation Systems Engineer
We are seeking a skilled engineer to design and optimize personalized experiences for millions of users by transforming raw data into insights and automated systems.
* Create 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.
* Develop and monitor metrics for model performance and user engagement impact.
About the Role:
* This is an opportunity to join our growing team and contribute to shaping the future of e-commerce.
* You will be working on building recommendation systems that deliver a personalized shopping experience.
* The ideal candidate has hands-on experience in data science, particularly in e-commerce or consumer-tech.
Key Requirements:
* 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.
* Hands-on experience building and deploying recommendation systems.
* Proficiency in Python and machine learning libraries.
PREFERRED QUALIFICATIONS:
* Knowledge of modern MLops workflows and model monitoring tools.
* Familiarity with cloud platforms and tools like Airflow or DBT.
Additional Information:
* We value continuous learning and skill development.
* Regular feedback and growth opportunities are available.
EVALUATION CRITERIA
We will evaluate candidates based on their technical skills, problem-solving abilities, and communication skills. We encourage applicants who share our passion for innovative solutions and collaborative work environments.