ML Engineer (Items team)
Remote
Tabby
With Tabby, you can split your purchases into 4 interest-free payments at your favourite stores. Download the Tabby app to get started.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 to join our Items team, who will help us implement the mechanics of processing Items in the marketplace.
Key Responsibilities
- Development of algorithms for Items Matching and Items Moderation;
- Development of algorithms for parsing and enriching product information;
- Deployment and integrating ML models as services;
- Bringing best practices of working with MLOps infrastructure.
Skills, Knowledge and Expertise
- 3+ years of experience as an ML Engineer or Data Scientist;
- Experience and achievements in the ML domain within e-commerce;
- Good knowledge of Python, understanding of best practices;
- Basic knowledge of SQL.
- Experience of extracting information from unstructured data.
- Familiarity with Text and/or Image Transformers.
- Experience working with NoSQL / vectors databases / ANN indexes;
- Self-hosting of LLMs;
- Developing streaming and batch data processing pipelines;
- Model deployment experience, Airflow, Docker;
- Experience on Google Cloud Platform.
Benefits
- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- A working environment that gives you autonomy and responsibility from day one.
- You should be comfortable with the idea that the quality of your work will influence the shape of your career.
- Participation in company’s employee stock options program.
- Health Insurance
If this sounds exciting to you, we’d love to hear from you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow ANN Docker E-commerce GCP Google Cloud LLMs Machine Learning ML models MLOps Model deployment NoSQL Pipelines Python SQL Streaming Transformers Unstructured data
Perks/benefits: Career development Equity Flex hours Health care Salary bonus Startup environment
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