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ML Team Lead
1 week ago
ML Team Lead Department:
Data Platform
Employment Type:
Full TimeLocation: RemoteDescriptionTabby 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 32,000 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 looking for a Machine Learning Team Lead to join our Items Team, responsible for enhancing the mechanics of processing Items in the marketplace to ensure an outstanding shopping experience for our users. In this role, you will also work on developing technologies to improve the relevance of advertising outcomes.
Key Responsibilities
- Manage a team of data scientists and ML engineers (5+ ML Engineers)
- Develop domains within our marketplace
- Enhance financial metrics in the marketplace and advertising strategies
- Oversee the delivery of ML solutions into production
- Implement best practices for working with data in our DWH and Features store
- Establish best practices for MLOps infrastructure
Skills, Knowledge and Expertise
- 5+ years of experience as an ML Engineer or Data Scientist
- Over 1 year of experience in a leadership role
- Demonstrated success in the ML field of e-commerce
- Proficient in Python with a solid grasp of best practices
- Thorough understanding of SQL with knowledge of best practices
- Familiarity with DS & ML algorithms
- Understanding of Applied Statistics and hypothesis testing principles
- Experience in model deployment, Airflow, Docker
- Proficiency in working with NoSQL, vectors databases, and ANN indexes
- Experience with developing streaming and batch data processing pipelines
- Hands-on experience with Google Cloud Platform
Benefits
- Flexible working hours to empower you to deliver your best work
- An autonomous and responsible work environment
- Your work quality directly impacts your career growth
- Participation in the company's employee stock options program
- Health Insurance
- A commitment to fostering a diverse, high-performance workplace supporting individuals to develop and achieve their goals
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