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Machine Learning Infrastructure Engineer - Fintech

OptasiaAthens, Attica, Greece
On-site Full-time

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Experience Level

Experience

Qualifications

What You Bring:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Informatics.2+ years of industry experience with a solid engineering background. Strong grasp of core Machine Learning concepts and MLOps. Proficiency in Python and PySpark (or Scala). Excellent communication and collaboration skills. Ability to thrive in a fast-paced, innovative environment.

About the job

Join Optasia, a pioneering B2B2X financial technology platform committed to revolutionizing financial inclusion through innovative solutions in scoring, financial decision-making, disbursement, and collection. We are dedicated to changing the world with our unique approach.

We are looking for passionate professionals who embody energy, a results-oriented mindset, and a proactive attitude. If you're eager to collaborate with a team of like-minded individuals in a dynamic environment, this is the perfect opportunity for you.

At Optasia, data is central to our growth strategy, and our Machine Learning Engineering team plays a crucial role in driving our success through data-driven insights and decision-making. We are currently harnessing data from diverse sources into our extensive big data clusters and developing and managing multiple analytical pipelines using cutting-edge technology.

As an ML Infrastructure Engineer, you will be integral to our data-driven automated decision-making and risk management processes. Your expertise in machine learning flows and the development and deployment of advanced algorithms will be invaluable. Key responsibilities include:

  • Designing and developing microservices and tools to support the Machine Learning lifecycle at Optasia.
  • Creating scalable, real-time microservices for global use.
  • Enhancing the development lifecycle through continuous improvements in collaboration with the team.
  • Designing, developing, and maintaining large-scale Spark jobs utilizing PySpark and Scala.
  • Building and managing CI/CD pipelines through Jenkins.
  • Writing automation scripts in Python or Bash.
  • Creating and deploying scalable Airflow pipelines that facilitate the Machine Learning lifecycle.
  • Conducting data exploration and analysis to develop and iterate on Machine Learning proof-of-concepts (PoCs).
  • Collaborating with Engineers and the Credit Risk team to design and deliver solutions that provide significant business value.
  • Optimizing the codebase through Spark job tuning and refactoring.
  • Improving our feature engineering engine to support more efficient Machine Learning workflows.

About Optasia

Optasia is a forward-thinking financial technology company that empowers users through innovative data solutions. Committed to fostering financial inclusion, we leverage cutting-edge technology to facilitate financial decision-making and risk management.

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