Machine Learning Engineer (Abu Dhabi, UAE Based)

Shory; Abu Dhabi Emirate; On-site; AED 200,000 - 300,000; Full time

Job summary

A tech firm in Abu Dhabi is seeking a seasoned Machine Learning Engineer to join their AI team. The role involves designing and building cloud-native systems and developing scalable data pipelines. Ideal candidates should have a solid background in software engineering and experience in AI or MLOps. A Bachelor's or Master's degree is required, along with relevant hands-on experience.

Qualifications

• 3-5 years of experience in AI/software engineering or MLOps.
• Proven experience with cloud-native architecture (AWS or Azure).
• Hands-on with CI/CD tools and monitoring.

Responsibilities

• Design and implement secure, cloud-native microservices using Python.
• Architect LLM-integrated systems leveraging GenAI providers.
• Develop scalable data pipelines to support machine learning workflows.

Skills

Python

MLOps

AI systems architecture

Data pipeline development

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

FastAPI

Docker

Kubernetes

AWS

Azure

Kafka

Spark

Airflow

Job description

Machine Learning Engineer (Abu Dhabi, UAE Based)

Shory Abu Dhabi Emirate, United Arab Emirates

Machine Learning Engineer (Abu Dhabi, UAE Based)

Shory Abu Dhabi Emirate, United Arab Emirates

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Global Talent Acquisition Specialist | HR Analytics | Data Enthusiast | Innovating Recruitment Processes | Tech, Non-Tech & FMCG Hiring Expert |…

Shory is the soft revolution in the Insurtech market. Welcome to a new age where insurance actually empowers its customers. We use technology to serve our customers and create ease of mind and trustworthiness around insurance needs. With Shory, a new time has begun.

We are seeking a seasoned Machine Learning Engineer to join our AI team in Abu Dhabi, UAE , help design and build the technical backbone of intelligent products. You will develop scalable, cloud-native systems supporting machine learning workflows . The ideal candidate has a strong foundation in software engineering , with experience in one or more of the following : GenAI integration (e.g., OpenAI, AWS Bedrock) or MLOps. You will work alongside specialists in ML and data to deliver robust, production-grade AI capabilities.

Responsibilities

• Design and implement secure, cloud-native microservices and APIs using Python for data and AI services.
• Architect LLM-integrated systems (e.g., RAG pipelines) leveraging LangChain, vector databases, and GenAI providers (e.g., AWS Bedrock, OpenAI).
• Automate infrastructure and CI / CD workflows using Docker, Kubernetes, Helm, and Terraform across AWS and / or Azure.
• Develop scalable data pipelines using technologies such as Spark, Kafka, and Airflow to power machine learning workflows.

Requirements :

• Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related field
• 3-5 years of experience in AI / software engineering, or MLOps roles building and deploying production-grade services.
• Proven experience with Python (FastAPI, Django), SQL, and cloud-native architecture (AWS or Azure).
• Hands-on with tools such as Kafka, Spark, Airflow, Redis, Elasticsearch, and container orchestration (K8s).
• Experience with GenAI tools such as LangChain, RAG systems, Bedrock / OpenAI APIs
• Solid grasp of CI / CD, IAC (Terraform, Helm), and monitoring (Prometheus, Grafana)
• Experience deploying in cloud environments with EC2, Lambda, S3, RDS, EKS / ECS, etc.

Note :

• This role will be onsite in Abu Dhabi, UAE and requires relocation

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Data Infrastructure and Analytics and Technology, Information and Media

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Engineer Abu Dhabi • Abu Dhabi Emirate, United Arab Emirates