ML Engineer (ML Squad)

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 an ML Engineer to join our ML Squad team, who will help us improve a wide range of business directions, from detecting fraudulent activities and forecasting financial indicators, to automating processes in customer support.

Key Responsibilities

• Development and support of services for generating responses and suggestions for support agents;
• Development and support of user fraud scoring services;
• Development of KYC mechanics using ML algorithms;
• Deployment and integrating ML models as services;
• 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;
• Good knowledge of Python, understanding of best practices;
• Excellent knowledge of SQL, understanding of best practices;
• Classic DS & ML stack;
• Strong understanding of Applied Statistics and Statistical Analysis, understanding the principles of hypothesis testing;
• Proven record of improving business processes by integrating ML-based solutions end-to-end.
  
  
  

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 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
  
  
  

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).

If this sounds exciting to you, we’d love to hear from you!