Production ML Engineer: Build & Deploy Scalable AI Systems

Client of Discovered MENA; Abu Dhabi; On-site; AED 240,000 - 480,000; Full time

Job summary

Client of Discovered MENA in Abu Dhabi seeks a highly technical hands-on Machine Learning Engineer to build and deploy scalable AI systems across the full ML lifecycle, from model development to production integration.

You will design, train, and deploy production-grade models, implement end-to-end ML pipelines, fine-tune LLMs, and automate through CI/CD and MLOps to deliver real-time and batch inference in live applications.

Qualifications

• 3–7 years building production-grade AI/ML systems.
• Experience across ML, DL, NLP, CV or Generative AI.
• Understanding of ML architectures from dev to production.
• Experience with LLMs and model fine-tuning.
• Experience deploying models via API using FastAPI/Flask.

Responsibilities

• Design, train, and deploy production-grade ML models across use cases.
• Build end-to-end ML pipelines for data ingestion, transformation, training, validation, deployment.
• Automate training, testing, and deployment with CI/CD and MLOps.
• Develop scalable model serving for real-time and batch inference.
• Collaborate with Software/Data/AI teams to integrate models into live apps.

Skills

ML engineering

Deep learning

NLP

Computer Vision

Generative AI

ML Ops

API development

Education

Bachelor's degree in CS/Engineering

Master's or PhD advantageous

Tools

Docker

Kubernetes

CI/CD tools

MLflow/Kubeflow

Job description

Client of Discovered MENA in Abu Dhabi seeks a highly technical hands-on Machine Learning Engineer to build and deploy scalable AI systems across the full ML lifecycle, from model development to production integration.

You will design, train, and deploy production-grade models, implement end-to-end ML pipelines, fine-tune LLMs, and automate through CI/CD and MLOps to deliver real-time and batch inference in live applications.