About the job
Department: Data Platform
Employment Type: Full Time
Location: Remote
Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 5,000,000 active users choose Tabby to stay in control of their spending and make the most out of their money.
Over 30,000 global brands and small businesses, including H&M, Adidas, IKEA, SHEIN, noon, and Bloomingdale’s, use Tabby’s technology to accelerate growth and gain loyal customers by offering flexible payments online and in stores. Tabby is active in Saudi Arabia, UAE, Egypt and Kuwait and backed by leading investors, including Sequoia Capital India, STV, PayPal Ventures, Mubadala Investment Capital, Arbor Ventures and others.
We are hiring a ML Engineer for the Search & Personalization team, who will improve the quality of our search engine, create a platform for recommending products and stores to ensure the best shopping experience for our users, and develop technologies to enhance the relevance of advertising results.
Key Responsibilities
Developing the domains of personalization, recommendations and search within our marketplace;
Improving financial metrics in the marketplace and advertising directions;
Be responsible for the delivery of ML solutions into production;
Bringing best practices of working with the data in our DWH and Features store;
Bringing best practices of working with MLOps infrastructure.
Skills, Knowledge And Expertise
3+ years of experience as an ML Engineer or Data Scientist;
Proven record of achievements in the ML domain of e-commerce;
Good knowledge of Python, understanding of best practices;
Excellent knowledge of SQL, understanding of best practices;
DS & ML stack of algorithms for customer personalization tasks (primarily RecSys & Ranking);
Bonus Skills
Model deployment experience, Airflow, Docker;
Experience in designing and validating A/B experiments;
Experience working with NoSQL / vectors databases / ANN indexes;
Developing streaming and batch data processing pipelines;
Experience on Google Cloud Platform.
Benefits
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).
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