ML Engineer, Fintech

Optasia, a leading B2B2X financial technology platform, is seeking a Machine Learning Engineer to join their Data & Risk team in Athens, Greece. The role offers a unique opportunity to work at the intersection of AI and fintech, developing sophisticated machine learning solutions that power financial inclusion and responsible financing decisions across 30 countries.

The position requires a professional with 2+ years of experience in Applied Machine Learning and Data Science, who will be responsible for developing and deploying advanced, scalable ML pipelines. You'll work with cutting-edge technologies including the Hadoop ecosystem, Airflow, Docker, and various programming languages such as Python, Scala, and SQL. The role involves writing production-quality code for REST API services and collaborating closely with Data Engineers, Solution Architects, and System Administrators.

The ideal candidate should possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or Informatics, along with strong knowledge of machine learning concepts and the Python ecosystem. You'll need to be comfortable with big data applications, DevOps practices, and have the ability to understand complex mathematical models and AI algorithms.

Optasia offers an attractive benefits package including flexible remote working, competitive compensation, performance bonuses, private healthcare, and additional perks such as an extra birthday holiday. The company provides a multicultural environment with solid career growth opportunities and continuous learning through training platforms.

What makes this role particularly exciting is the opportunity to work on meaningful projects that directly impact financial inclusion across multiple countries. You'll be part of a dynamic team that values innovation, customer-first mindset, and collaborative problem-solving. The company's values emphasize continuous evolution, excellence in customer service, knowledge sharing, and a results-oriented approach, making it an ideal environment for professionals who are passionate about using technology to make a difference in the financial sector.