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Machine Learning Infrastructure Engineer at Optasia | Athens, Greece

OptasiaAthens, Attica, GreeceNew
On-site Full-time

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What you will do:Participate in the design and development of microservices and tools that facilitate the Machine Learning lifecycle at Optasia. Contribute to the design and delivery of scalable, real-time microservices utilized globally. Drive ongoing enhancements 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. Create automation scripts using Python or Bash. Develop and deploy scalable Airflow pipelines that support the Machine Learning lifecycle. Conduct data exploration and analysis to scope, build, and iterate on Machine Learning proof-of-concepts (PoCs). Collaborate with Engineers and the Credit Risk team to design and deliver solutions that generate business value at Optasia. Enhance the codebase through Spark job tuning and refactoring. Lead improvements in our feature engineering engine to support more efficient ML workflows. What you bring:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Informatics.2+ years of industry experience in an engineering role. Strong understanding of fundamental Machine Learning concepts and MLOps. Proficient in Python and PySpark (or Scala). Demonstrated knowledge of statistical modeling and algorithm development.

About the job

Optasia builds B2B2X financial technology for scoring, decision-making, disbursement, and collections, with a focus on expanding financial inclusion worldwide. The company’s growth relies on data-driven strategies, and the Machine Learning Engineering team is at the center of this effort.

The Machine Learning Infrastructure Engineer role supports automated decision-making and risk management. This position involves working with large data sets, integrating information from multiple sources, and managing analytical pipelines built on a modern big data technology stack.

What you will do

  • Build and maintain resilient machine learning pipelines that support business-critical decisions
  • Design and develop statistical and machine learning algorithms for credit risk management
  • Deploy and operationalize ML solutions to improve automated risk assessment and decision processes

What we are looking for

  • Strong experience with end-to-end machine learning workflows
  • Background in developing and deploying advanced algorithms
  • Motivation, energy, and a results-oriented approach
  • Ability to thrive in a collaborative team environment

This position is based in Athens, Greece, and offers the chance to make a direct impact on Optasia’s data-driven initiatives.

About Optasia

Optasia is a pioneering financial technology platform that aims to revolutionize financial services by promoting financial inclusion for all. We leverage advanced technology and data analytics to provide innovative solutions in scoring, decision-making, and risk management, ultimately creating a positive impact on the financial landscape.

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