AI Data Engineer — Personalisation & GenAI Pipelines

Multibank Group

Dubai

On-site

AED 293,793 - 367,242

Full time

14 days+

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Benefits offered by this job

Competitive salary
Comprehensive employee benefits
Opportunities for professional growth
Collaborative work environment
Commitment to innovation

Job summary

A global financial institution in Dubai is seeking an experienced AI Data Engineer to design and develop innovative data solutions. You will focus on building scalable data pipelines, predictive models, and Gen AI applications to enhance customer engagement and lifetime value. The ideal candidate has expertise in SQL, Python, and machine learning, with a strong communication ability to present insights to non-technical stakeholders. Join us for competitive salary and growth opportunities in a collaborative environment.

Qualifications

  • Strong expertise in SQL and high-volume datasets.
  • Comfortable with Python to create pipelines and automations.
  • Expertise in deploying machine learning solutions end-to-end.
  • Experience in communicating data insights to stakeholders.
  • Familiar with creating applications using LLMs.

Responsibilities

  • Collaborate to build datasets and a centralised data warehouse.
  • Own machine learning solutions focusing on customer personalisation.
  • Develop new apps using Gen AI for personalised trading.
  • Find opportunities to increase customer engagement.

Skills

SQL
Python
Data analysis
Machine learning
ETL tools
Gen AI

Tools

AWS
SageMaker
dbt
AWS Glue

Job description

A global financial institution in Dubai is seeking an experienced AI Data Engineer to design and develop innovative data solutions. You will focus on building scalable data pipelines, predictive models, and Gen AI applications to enhance customer engagement and lifetime value. The ideal candidate has expertise in SQL, Python, and machine learning, with a strong communication ability to present insights to non-technical stakeholders. Join us for competitive salary and growth opportunities in a collaborative environment.
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