Offer summary

Qualifications:

3+ years of experience as an ML Engineer., Strong proficiency in ML engineering tools such as GitLab CI/CD, Docker, and Airflow., Hands-on experience with cloud platforms, preferably GCP, and a solid understanding of ML system design best practices., Familiarity with Python ML/DL stack and experience in automated testing..

Key responsibilities:

Own the engineering backbone of the ML lifecycle, ensuring reliable and scalable model deployment.

Develop and optimize Airflow DAGs for offline model training and inference.

Collaborate with Applied Scientists to transition offline experiments into production-ready ML products.

Build and maintain robust monitoring for both offline jobs and online services.

Job description

Department: Data Platform

Employment Type: Full Time

Location: Remote

Reporting To: Aleksandr Ageev

Description

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.

The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.

Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.

Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion.

We are looking for a Senior ML Engineer to join our Search & Personalization team. While our team is responsible for building end-to-end ML solutions, your primary focus will be on the engineering side of the ML product lifecycle—ensuring seamless CI/CD processes, scalable infrastructure, and robust productionization of ML models (both offline and online).

Our ML models power key marketplace features, including Search, All-Stores, and the main page of the marketplace. Our mission is to transform Tabby into more than just a BNPL platform—by connecting users with their aspirations.

Key Responsibilities

Own the engineering backbone of our ML lifecycle, ensuring reliable and scalable model deployment.
Develop and optimize Airflow DAGs for offline model training and inference.
Design and implement best practices for ML model registry, experiment tracking, and CI/CD pipelines.
Build and maintain robust monitoring for both offline jobs and online services.
Develop automated testing frameworks, covering data quality, integration, and load testing.
Collaborate with Applied Scientists to transition offline experiments into production-ready ML products.
Work closely with Backend Engineers to integrate ML models seamlessly into production systems.
Develop and optimize scalable Python services for model serving and data pipelines.

Skills, Knowledge & Expertise

3+ years of experience as an ML Engineer.
Strong proficiency in ML engineering tools, including:

W&B / ClearML / MLflow / DVC
GitLab CI/CD, Docker, Kubernetes, Airflow
FastAPI for serving ML models

Hands-on experience with cloud platforms (preferably GCP).
Deep understanding of ML system design best practices.
Familiarity with ML/DL Python stack: PyTorch, Pandas, Scikit-learn, Transformers, OpenAI APIs.
Solid experience in SQL and working with structured data.
English proficiency: B1+ (intermediate or higher).
Experience designing and scaling high-load Python services.
Background in automated testing (data quality, integration, load testing).
Experience with real-time ML model deployment and inference.
Knowledge of model optimization techniques: quantization, distillation, pruning.
Familiarity with Go or other backend programming languages.

Job Benefits

Relocation

We offer remote work from anywhere in the world and are happy to work out an individual relocation plan for you.

Our employees have the opportunity to choose a country for registration: at the moment those are Armenia/Georgia/Serbia/Portugal/Spain.

We will help you open a legal entity and a bank account. In Armenia and Georgia the taxes are compensated by Tabby. In other countries we provide partial compensation of taxes.

We employ according to B2B contracts (service agreements).

For our employees we cover the following:

Flight to one of the mentioned countries.
Accommodation during the paperwork completion period.
Opening a bank account and getting a residence permit in one of the mentioned countries.
Family relocation (dependants).

New employees can also choose an alternative method of relocation to another country of their choice. In this case, Tabby will reimburse up to $5,000 of verified costs upon opening a legal entity and a bank account.

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!

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