Optasia

3 months ago

Machine Learning Infrastructure Engineer, Fintech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Join the ML Engineering team to design, build, and operate scalable ML pipelines and microservices that power real-time decisioning in a fintech platform. You’ll develop Spark jobs with PySpark/Scala, implement CI/CD, orchestrate Airflow pipelines, and collaborate with Credit Risk to deliver data-driven value at scale.

Location: Athens

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, develop and maintain large-scale Spark jobs using PySpark and Scala.
•Contribute to the design and development of microservices and tools that support the Machine Learning lifecycle.
•Design and deliver scalable, real-time microservices used globally.
•Build and manage CI/CD pipelines and automation scripts (e.g., Jenkins, Python/Bash).
•Develop and deploy scalable Airflow pipelines that support the Machine Learning lifecycle.

Pay and Benefits

Perks:Health InsuranceRemote WorkAnnual BonusTech Gear

Key Requirements

•2+ years of industry experience with an engineering background.
•Strong knowledge of Python and PySpark (or Scala).
•Proficiency in SQL and Linux.
•Solid understanding of the Hadoop ecosystem and end-to-end API development/deployment.
•Experience with Dockerized applications and workflow orchestration tools such as Airflow (or similar).

Experience:2+ yearsFintechTelecommunicationsBig dataMachine learning

Education:Bachelor's

Skills:Problem-solvingAttention to detailCommunication

Languages:English

Tech Stack:PythonPySparkScalaHadoopSQLLinuxDockerAirflowJenkins

Company Brief

Optasia

Operates a digital health platform delivering online mental health and therapy services, connecting users with licensed therapists and providing tools for wellbeing, counselling, and remote treatment management to improve access to behavioral healthcare.

Industry: Mental Health

Website

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Optasia

3 months ago

Machine Learning Infrastructure Engineer, Fintech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Athens

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design, develop and maintain large-scale Spark jobs using PySpark and Scala.
•Contribute to the design and development of microservices and tools that support the Machine Learning lifecycle.
•Design and deliver scalable, real-time microservices used globally.
•Build and manage CI/CD pipelines and automation scripts (e.g., Jenkins, Python/Bash).
•Develop and deploy scalable Airflow pipelines that support the Machine Learning lifecycle.

Pay and Benefits

Perks:Health InsuranceRemote WorkAnnual BonusTech Gear

Key Requirements

•2+ years of industry experience with an engineering background.
•Strong knowledge of Python and PySpark (or Scala).
•Proficiency in SQL and Linux.
•Solid understanding of the Hadoop ecosystem and end-to-end API development/deployment.
•Experience with Dockerized applications and workflow orchestration tools such as Airflow (or similar).

Experience:2+ yearsFintechTelecommunicationsBig dataMachine learning

Education:Bachelor's

Skills:Problem-solvingAttention to detailCommunication

Languages:English

Tech Stack:PythonPySparkScalaHadoopSQLLinuxDockerAirflowJenkins

Company Brief

Optasia

Industry: Mental Health

Website