Full Time

Principal ML Engineer – Digital Banking Intelligence & Predictive Finance Platforms

  • Remote
  • Specialism :
  • Post Date: May 21, 2026
  • Expires In : 8 Days
  • Apply Before: August 21, 2026
Job Overview

Principal ML Engineer – Digital Banking Intelligence & Predictive Finance Platforms

Location: Qatar – Doha Financial Technology & AI Innovation Zone

Position Summary

An ambitious fintech transformation ecosystem focused on intelligent banking modernization, predictive financial systems, AI-powered customer engagement, and next-generation embedded finance infrastructure is recruiting a Principal Machine Learning Engineer to spearhead enterprise AI engineering initiatives across mission-critical financial platforms.

This role is intended for highly advanced ML professionals capable of building scalable predictive intelligence ecosystems integrating financial forecasting, customer analytics, real-time personalization, intelligent automation, and enterprise financial decision optimization.

The selected candidate will work closely with elite engineering, data science, cloud architecture, and fintech innovation teams to develop sophisticated AI systems transforming the future of digital finance across the Gulf region.


Strategic Responsibilities

Predictive Financial Intelligence Engineering

  • Build advanced predictive models supporting:
    • Customer lifetime value forecasting
    • Credit default prediction
    • Intelligent lending automation
    • Financial recommendation systems
    • Revenue forecasting
    • Treasury intelligence
    • Customer churn prediction
    • Behavioral financial analytics
  • Design scalable AI architectures supporting enterprise financial ecosystems.
  • Engineer high-throughput data processing pipelines for real-time analytics.

Enterprise AI Platform Development

  • Develop reusable machine learning platforms and internal AI tooling.
  • Build enterprise-grade model serving infrastructures.
  • Optimize distributed training environments for large-scale financial datasets.
  • Enhance AI lifecycle management and governance automation.

MLOps & Cloud AI Infrastructure

  • Lead implementation of CI/CD pipelines for machine learning systems.
  • Develop scalable GPU-enabled AI infrastructure.
  • Automate model validation, deployment, monitoring, and retraining workflows.
  • Improve resilience and scalability of AI production environments.

Innovation & Research Leadership

  • Evaluate emerging AI technologies and advanced modeling techniques.
  • Explore generative AI applications within financial services ecosystems.
  • Contribute to enterprise AI modernization strategies.
  • Mentor machine learning engineers and data scientists.

Advanced Technology Stack

The role provides exposure to:

  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
  • Spark ML
  • Kubernetes
  • Ray
  • MLflow
  • Apache Airflow
  • Databricks
  • AWS/GCP AI ecosystems
  • Vector databases
  • Real-time streaming platforms
  • Distributed GPU environments
  • Enterprise AI governance frameworks

Qualifications & Experience

Experience Requirements

  • 8–12 years of software engineering or machine learning engineering experience.
  • Extensive background in enterprise AI or fintech analytics environments.
  • Strong experience deploying production-scale AI systems.
  • Proven expertise in distributed AI infrastructure and predictive analytics.

Technical Expertise

Deep understanding of:

  • Machine learning lifecycle management
  • Deep learning systems
  • Recommendation engines
  • Time-series forecasting
  • Large-scale distributed computing
  • AI infrastructure optimization
  • Financial analytics modeling
  • AI governance and compliance frameworks

Educational Background

  • Degree in:
    • Artificial Intelligence
    • Computer Science
    • Data Science
    • Statistics
    • Computational Engineering
    • Mathematics

Preferred Credentials

  • Cloud AI certifications
  • TensorFlow or AWS ML certifications
  • Experience with fintech compliance-aware AI systems
  • Exposure to generative AI and LLM operationalization

Benefits & Career Advantages

  • Executive-level GCC compensation structure
  • Advanced AI research sponsorship programs
  • International relocation and housing assistance
  • Elite healthcare and executive wellness programs
  • Access to enterprise AI innovation labs
  • Global fintech and AI summit participation
  • Strategic technical leadership growth opportunities
  • Long-term involvement in national digital finance modernization initiatives

Are you excited about this opportunity?

Don’t miss the chance to make a difference in the fintech and FX industry!

 Apply now by clicking on the “Apply Now” button below. 

Let’s shape the future of finance together!

#EmploySolutionJobs #FXCareers.

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