MLOps Engineer

Discovered MENA; Abu Dhabi; On-site; AED 180,000 - 280,000; Full time

Benefits offered by this job

Excellent salary package

4.5-day work week

24 annual flexi-work days

Platinum health coverage

Job summary

Discovered MENA partners with a leading Abu Dhabi financial services firm to build an enterprise-grade ML platform. The role focuses on accelerating model experimentation, deployment, and scaling AI solutions across the organization.

You will design end-to-end ML pipelines for CI/CD/CT, configure real-time and batch serving, and implement monitoring, governance, and secure infrastructure across cloud and on-premises environments.

Qualifications

• 3-7 years of hands-on experience building and operating high-availability ML pipelines and automation scripts.
• Strong programming proficiency in Python, Go, or Java, combined with systems scripting and deep Linux environment expertise.
• Deep familiarity with MLflow, Kubeflow, Argo Workflows, Feast, or managed platform equivalents (SageMaker, Azure ML).
• Hands-on experience with Docker, Kubernetes, IaC (Terraform, CloudFormation), and cloud security (VPC isolation, private endpoints, RBAC, encryption).
• Bachelor’s degree in Computer Science, Engineering, or a related field required; Master’s degree preferred.

Responsibilities

• Design and automate end-to-end ML pipelines for CI/CD/CT.
• Configure model serving infrastructure for real-time and batch inference.
• Implement production monitoring and logging for model performance and drift.
• Manage model registries and metadata for auditable lineage and versioning.
• Orchestrate and scale containerized applications using Docker and Kubernetes or managed cloud services.
• Partner with security and data governance teams to enforce encryption, isolation, and IAM policies.

Skills

Python

Go

Java

Linux

Scripting

Education

Bachelor's degree in Computer Science or Engineering

Master’s degree preferred

Tools

MLflow

Kubeflow

Argo Workflows

Feast

SageMaker

Azure ML

Docker

Kubernetes

Terraform

CloudFormation

Job description

We’re partnering with a leading financial services organisation in Abu Dhabi that is investing significantly in its AI and data capabilities.

Discover the role

We are seeking an experienced MLOps Engineer to join its AI innovation group. In this role, you will design and develop an enterprise-grade ML platform that empowers data science teams to accelerate model experimentation, streamline deployment, and scale AI solutions across the organization.

• Design and automate end-to-end ML pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT).
• Configure model serving infrastructure supporting both ultra-low latency real-time APIs (e.g., FastAPI, gRPC) and large-scale batch inference.
• Implement production monitoring and logging systems to track model performance, runtime latencies, data drift, and concept decay.
• Manage model registries and metadata using tools like MLflow or Kubeflow to ensure auditable lineage, reproducible versioning, and artifact tracking.
• Orchestrate and scale containerized applications using Docker and production-grade Kubernetes or managed cloud services (EKS, AKS).
• Partner with security and data governance teams to enforce pipeline encryption, network isolation, secure IAM policies, and strict compliance standards.

Discover the Requirements

• 3-7 years of hands-on experience building and operating high-availability ML pipelines, automation scripts, and foundational platform infrastructure.
• Strong programming proficiency in Python, Go, or Java, combined with systems scripting and deep Linux environment expertise.
• Deep familiarity with tools such as MLflow, Kubeflow, Argo Workflows, Feast, or managed platform equivalents (SageMaker, Azure ML).
• Hands‑on experience with Docker, Kubernetes, Infrastructure-as-Code (Terraform, CloudFormation), and cloud security (VPC isolation, private endpoints, RBAC, encryption).
• Bachelor’s degree in Computer Science, Engineering, or a related field required; Master’s degree preferred.

Why Join?

• An excellent salary package on offer
• Enjoy a 4.5-day work week, plus 24 annual flexi-work days allowing you to work from anywhere.
• Full platinum health cover for you and your sponsored dependents.
• You will be a part of one of the region's biggest AI innovation teams and gain the opportunity to work with cutting-edge technologies to transform large-scale enterprise banking systems.