Healthcare AI Engineer – Solution Evaluation & Incubation in UAE

Tangent International; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading tech solutions provider in Dubai is seeking an AI Engineer to set up and manage environments for AI solution evaluations. The ideal candidate will have strong programming skills and MLOps experience, focusing on integrating tools and managing data pipelines. This role is crucial for ensuring scalable and secure implementations of AI solutions.

Qualifications

• Minimum 3 years of experience in software, data, or MLOps engineering.
• Strong programming skills in Python, Java, or Scala.
• Experience with cloud platforms and data tools.

Responsibilities

• Set up secure environments for AI solution evaluations.
• Manage data pipelines for evaluations.
• Integrate vendor APIs and models effectively.

Skills

Python

Java

Scala

APIs

Docker

Kubernetes

Data Engineering

MLOps

Tools

AWS

Azure

GCP

Airflow

Spark

Kafka

Job description

Overview

Exciting Job Opportunity: AI Engineer / Healthcare AI Engineer – Solution Evaluation & Incubation
Location: UAE, Dubai

Role Overview
You’ll be the technical enabler behind AI solution evaluations—rapidly setting up environments, integrating third-party tools, managing data pipelines, and ensuring scalability and security throughout Proof of Concept (POC) phases. While most solutions are bought, your MLOps expertise will be essential to assess, deploy, and scale these solutions reliably.

Key Responsibilities

• POC Setup & Integration: Build secure, scalable evaluation environments; integrate vendor APIs, SDKs, and models.
• Data Engineering: Create and manage data pipelines to prepare and move data (historical or synthetic) for evaluations.
• Automation: Streamline setup and testing with reusable tools and scripts.
• MLOps & Architecture: Assess vendor MLOps maturity; guide future integration, monitoring, and scalability of solutions.
• Collaboration & Documentation: Partner with Product, Data Science, and IT teams; clearly document POC setups, issues, and lessons learned.

Qualifications

• 3+ years in software, data, or MLOps engineering
• Strong in Python/Java/Scala, APIs, Docker/Kubernetes
• Experience with cloud platforms (AWS/Azure/GCP) and tools like Airflow, Spark, or Kafka
• Solid understanding of data security, governance, and CI/CD
• Preferred: ML frameworks (TensorFlow, PyTorch), healthcare systems (EHRs, FHIR), and infrastructure-as-code

Why This Role Matters

Though the client emphasizes buying AI tools, your role ensures these solutions:

• Meet operational standards (via MLOps review)
• Integrate cleanly into our systems
• Scale beyond POC to production
• Support niche internal builds when needed

How to Apply

Send your CV to: [e-mail]