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ML Engineer
1 week ago
Job Title:
ML Engineer (Items Team)
Company:
Tabby
Department:
Data Platform
Employment Type:
Full Time
Location: Remote
Tabby is revolutionizing the shopping experience, providing financial freedom to users and transforming their approach to money management.
With a user base of over 5,000,000, Tabby empowers individuals to take charge of their expenditures and optimize their finances.
Partnering with more than 30,000 global brands and small businesses such as H&M, Adidas, IKEA, SHEIN, noon, and Bloomingdale's, Tabby leverages its cutting-edge technology to drive business growth and cultivate a loyal customer base through convenient online and in-store payment solutions.
Operating in Saudi Arabia, UAE, Egypt, and Kuwait, Tabby has garnered support from prominent investors like Sequoia Capital India, STV, PayPal Ventures, Mubadala Investment Capital, Arbor Ventures, among others.
As an ML Engineer within our Items team, you will play a pivotal role in enhancing the efficacy of item processing 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
- Implementing best practices for MLOps infrastructure
Skills, Knowledge, and Expertise:
- Minimum of 3 years of experience as an ML Engineer or Data Scientist
- Demonstrable expertise in ML within the e-commerce sector
- Proficiency in Python with a grasp of industry best practices
- Familiarity with basic SQL concepts
- Experience in extracting insights from unstructured data
- Knowledge of Text and/or Image Transformers
Bonus Skills:
- Experience with NoSQL, vector databases, and ANN indexes
- Capability in self-hosting of LLMs
- Proficiency in developing streaming and batch data processing pipelines
- Previous exposure to model deployment, Airflow, Docker
- Hands-on experience with Google Cloud Platform
Benefits:
- Flexible working hours
- Autonomy and responsibility in a collaborative work environment
- Opportunity for professional growth and impact on your career trajectory based on your performance
- Participation in the company's employee stock options program
- Comprehensive Health Insurance
- A commitment to fostering an inclusive and high-performing workplace that supports individuals from diverse backgrounds in achieving their objectives
If you are enthusiastic about this opportunity, we are excited to connect with you
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