Machine Learning Infrastructure Engineer at Optasia

Setup: Remote
Type: Full-time
Posted: Apr 29, 2026

Description

Optasia is looking for ML Infrastructure Engineers to join their team. The role involves designing and developing microservices, building robust ML pipelines, and optimizing codebases. Candidates should have strong knowledge of Python, PySpark, Scala, and the Hadoop ecosystem, along with proficiency in SQL, Linux, and CI/CD.

Required Skills

Python
PySpark
Scala
Hadoop ecosystem
SQL
Linux
end-to-end API development and deployment
building and managing Dockerized applications
workflow orchestration tools such as Airflow

Additional Information

Required Previous Experiences: 2+ years of industry experience with an engineering background.
Preferred Qualifications: Solid understanding of core Machine Learning concepts and MLOps.
Good knowledge in Python and PySpark (or Scala).
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.

About Optasia

Optasia

FintechDubai, United Arab Emirates

Optasia is the intelligence layer behind financial opportunity, using real-time behavioural data to make precise credit decisions and make financial services more accessible, relevant and responsive. The company says its platform has been built over more than a decade, and it has grown to a team of over 350 people. Optasia has been listed on the Johannesburg Stock Exchange since November 2025.

Open roles: 98
New in 30 days: 13

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