AI Engineer

Edison Smart®; Abu Dhabi; On-site; AED 240,000 - 520,000; Full time

Job summary

Edison Smart® is seeking a Senior AI Engineer to design, develop and productionise real-time ML and forecasting solutions embedded in live fintech workflows. You’ll collaborate with data engineers, platform teams and compliance to deliver scalable AI systems for fraud detection, risk profiling and forecasting across millions of events.

The role emphasizes building streaming and batch pipelines in Python, PySpark, and cloud environments, with a strong focus on MLOps, monitoring and rapid

Qualifications

• 5+ years’ experience in AI Engineering, Machine Learning Engineering or Applied Data Science (fintech, banking, payments, or financial services strongly preferred).
• Design, build and productionise fraud detection, anomaly detection, transaction monitoring, credit risk and forecasting models.
• Develop time-series forecasting models for demand, liquidity, transaction volume and customer behaviour prediction.
• Develop real-time and batch ML pipelines using Python, PySpark and modern data stacks.
• Build and optimise models using high-volume, low-latency data (transactions, behavioural signals, device data).
• Implement MLOps best practices including CI/CD, model versioning, monitoring and retraining pipelines.
• Work with streaming technologies such as Kafka.
• Proficient in Python, SQL, PySpark, CI/CD, and Cloud (GCP/AWS/Azure).
• Excellent communication skills with both technical and business stakeholders.

Responsibilities

• Design, develop and productionise AI and forecasting models for real-time decisioning and risk monitoring.
• Lead ML pipelines and data processing workflows across streaming and batch data.
• Collaborate with data engineers, platform teams, product owners and compliance to align requirements.
• Implement MLOps practices including CI/CD, model versioning, monitoring and retraining pipelines.
• Work with Kafka and cloud platforms to scale AI solutions in live fintech workflows.
• Translate business needs into robust ML solutions with clear documentation and stakeholder communication.

Skills

AI Engineering

Machine Learning

Applied Data Science

Python

SQL

PySpark

Real-time ML

Forecasting

Tools

Kafka

PySpark

CI/CD

Cloud Platforms (GCP/AWS/Azure)

Job description

Duration

6–12 months (extendable)

Project Overview

You’ll join a fast-scaling organisation undergoing a major AI-led transformation focused on building next-generation fraud detection, credit risk, real-time decisioning, and forecasting platforms.

The program is replacing legacy, rule-based systems with machine learning-driven intelligence to improve transaction monitoring, customer risk profiling, demand and liquidity forecasting, and payment decisioning across millions of daily events.

Role Overview

We’re seeking a Senior AI Engineer to lead the design, development, and production of real-time ML and forecasting solutions. You’ll work closely with data engineers, platform teams, product owners, and compliance stakeholders to build scalable AI systems embedded directly into live fintech workflows.

Skills & Responsibilities

• 5+ years’ experience in AI Engineering, Machine Learning Engineering or Applied Data Science (fintech, banking, payments, or financial services strongly preferred).
• Design, build and productionise fraud detection, anomaly detection, transaction monitoring, credit risk and forecasting models.
• Develop time-series forecasting models for demand, liquidity, transaction volume and customer behaviour prediction.
• Develop real-time and batch ML pipelines using Python, PySpark and modern data stacks.
• Build and optimise models using high-volume, low-latency data (transactions, behavioural signals, device data).
• Implement MLOps best practices including CI/CD, model versioning, monitoring and retraining pipelines.
• Work with streaming technologies such as Kafka.
• Proficient in Python, SQL, PySpark, CI/CD, and Cloud (GCP/AWS/Azure).
• Excellent communication skills with both technical and business stakeholders.