Jeff App is a Riga-based, globally operating fintech building an AI-driven financial marketplace for the next billion consumers. The company connects underbanked users with top lenders using alternative data and proprietary credit scoring, making financial services easier to access in growing markets. Joining Jeff means working where AI, finance, and global growth come together and where small, high-impact teams build products that reach millions of users worldwide.

Recognized as one of the fastest-growing startups in Europe, Jeff has ranked in the Financial Times FT1000 (#27) and Deloitte Fast 50 (#3 in Central Europe).

With over 10 million users and 100 million+ processed applications, Jeff operates across multiple international markets and continues to scale rapidly, combining startup agility with proven traction.

About the role

As a member of the Jeff App Data Team, you will be part of the team supporting sales, customer engagement, and development of various data services and data products in Asia and Latin America. You have a central role in expanding Jeff App's data science models portfolio by leveraging machine learning and other advanced methods. You will also be driving MLOps technologies and practices development. You will work closely with the data engineer and DevOps team to support the deployment of machine learning models by using robust MLOps, DevOps technologies, and practices.

In the coming year, Jeff will focus on continuing to scale up and expand the development and operationalization of a variety of real-time models. They focus on further upgrading MLOps and the associated tech stack using various technologies and tooling in the cloud.

Tech competences

• Experience in solving complex statistical and data problems, ability to translate business problems in data science
• Good understanding of appropriate analytical algorithms, models, and experience in leveraging relevant tools and methods (especially, machine learning)
• Good knowledge and experience with core programming languages (Python, PySpark, etc) and OOP
• Knowledge and experience with MLOps, DevOps processes, techniques, and tools
• Knowledge and experience with databases, data search, and extraction
• Experience with deployment, monitoring, and maintaining ML models in production, including CI/CD, retraining pipelines, and model observability (drift, performance, reliability)
• Experience designing and optimizing ML pipelines (focus on feature store, model serving frameworks)
• 5+ years of experience in roles such as Data Scientist, ML Engineer, or DevOps Engineer
• Successful track record in delivering end-to-end machine learning projects

Soft skills

• You have a strong innovation drive and can-do attitude
• Communication skills
• You are expected to be an expert in your field and constantly keep up with the trends and technologies
• You are expected to actively support and knowledge-share with others in the area of advanced analytics and data science, and be able to work across the data, business, and IT functions with various subject matter experts

What we offer:

• Equipment of your preference
• Knowledgeable, driven, and truly experienced team
• Vacation policy that fully covers annual leave and National holidays in line with your residence country's standards
• Hybrid work mode
• Salary of 5500 EUR gross, and opportunity to earn more via good performance (cash or stock – you choose!)
• Early-stage startup hunger and ambition, combined with stability, as we have reached profitability
• Unlimited growth – as the company grows, you grow with us!

Hiring process:

1. Screening call with Tech Recruitment
2. First interview with the company
3. The technical task
4. Final interview with CEO