# Senior Machine Learning Infrastructure Engineer, Fintech > Optasia · Athens, Greece (Hybrid) · — · Posted 2025-09-01 **Workplace:** hybrid **Department:** Data & Risk ## Description **Optasia** is a fully enabled B2B2X **financial technology platform** covering scoring, financial decisioning, disbursement and collection. We are committed to enabling financial inclusion for all. **We are changing the world our way**. We are seeking for enthusiastic professionals, with energy, who are results driven and have can-do attitude, who want to be part of a team of likeminded individuals who are delivering solutions in an innovative and exciting environment. Data is at the core of Optasia growth plan and the ML Engineering team is a significant contributor to Optasia’s success and growth, achieved through data driven insights and decision making.  We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and develop and run multiple analytical pipelines, over a state-of-the art big data technology stack.  We are looking for a **Senior ML Infrastructure Engineer** to join our growing ML Engineering team. In this role, you will help advance Optasia’s data-driven decision-making and credit risk management by building and evolving scalable, end-to-end ML pipelines. The main responsibilities include (i) building robust ML pipelines , (ii) designing and developing statistical and machine learning algorithms, and (iii) operationalizing these solutions to strengthen in credit risk management —  directly contributing to Optasia’s success.  **What you will do** - Offer technical expertise in ML engineering, helping the team adopt the right tools and approaches, stay ahead of emerging trends, and deliver solutions that meet industry best practices. - Provide expert guidance to improve the scalability, stability, accuracy, speed, and efficiency of ML workflows, while upholding the highest standards of testing and code quality. - Contribute to the design and development of the microservices and tools that support Machine Learning lifecycle at Optasia. - Contribute to the design and delivery of scalable, real-time microservices used globally. - Drive continuous improvements in the development lifecycle in collaboration with the team. - Design, develop and maintain large-scale Spark jobs using PySpark and Scala. -  Build and manage CI/CD pipelines with Jenkins. -  Develop automation scripts using Python or Bash. -  Develop and deploy scalable Airflow pipelines that support the Machine Learning lifecycle. -  Perform data exploration and analysis to scope, build, and iterate on Machine Learning proof-of-concepts (PoCs). -  Partner with Engineers and Credit Risk team to design and deliver solutions that drive business value at Optasia. -  Optimize the codebase through Spark job tuning and refactoring. -  Drive improvements to our feature engineering engine to support more efficient ML workflows. **What you will bring** - Bachelor's or Master's degree in Electrical Engineering, Computer Science or Informatics. -  5+ years of industry experience with Machine Learning Engineering and MLOps background. -   Solid understanding of core Machine Learning concepts and MLOps. -  Proficiency in Python and PySpark (or Scala, Java). - Strong knowledge of the Hadoop ecosystem. - Proficiency in SQL. -  Proficiency in Linux. -  Strong knowledge of end-to-end API development and deployment. -  Proficiency in building and managing Dockerized applications. -  Experience with workflow orchestration tools such as Airflow (or similar). -  Familiarity with CI/CD best practices. -  Ability to meet tight deadlines, work under pressure, and maintain strict attention to detail. -  Awareness of emerging technologies, with the ability to quickly learn and adapt to new tools and frameworks **Why you should apply** What we offer: 👟 Flexible remote working 💸 Competitive remuneration package 🏝 Extra day off on your birthday 💰 Performance-based bonus scheme 👩🏽‍⚕️ Comprehensive private healthcare insurance 📲 💻 All the tech gear you need to work smart Optasia’s Perks: 🎌 Be a part of a multicultural working environment 🎯 Meet a very unique and promising business and industry 🌌 🌠 Gain insights for tomorrow market’s foreground 🎓 A solid career path within our working family is ready for you 📚 Continuous training and access to online training platforms 🥳 CSR activities and festive events within any possible occasion 🍜 Enjoy comfortable open space restaurant with varied meal options every day 🎾 🧘‍Wellbeing activities access such as free on-site yoga classes, plus available squash court on our premises **Optasia’s Values 🌟** **#1 Drive to Thrive:** Fully dedicated to evolving. We welcome all challenges and learning opportunities. **#2 Customer-First Mindset:** We go above and beyond to meet our partners’ and clients’ expectations. **#3 Bridge the Gap:** Knowledge is shared, information is exchanged and every opinion counts. **#4 Go-Getter Spirit:** We are results oriented. We identify any shortcomings that hold us back and step up to do what’s needed. **#5 Together we will do it:** We are committed to supporting one another and to understanding and respecting different perspectives, as we aim to reach our common goals. ## Apply [Apply at Optasia](https://apply.workable.com/optasia/j/28DB6E8BFD/apply) --- Powered by [Workable](https://www.workable.com)