Production ML Engineer: Build & Deploy Scalable AI Systems

DISCOVERED; Abu Dhabi; On-site; AED 250,000 - 400,000; Full time

Job summary

DISCOVERED is seeking a highly technical Machine Learning Engineer in Abu Dhabi to build and deploy scalable AI systems across the full ML lifecycle. This hands-on role focuses on production engineering, model development, training, deployment and integration into live applications.

You will work with traditional ML, deep learning, NLP, CV and Generative AI architectures, fine-tune LLMs, and implement CI/CD with MLOps to automate training and deployment.

Qualifications

• 3–7 years of experience building and deploying production-grade ML systems.
• Hands-on expertise across ML including deep learning, NLP, Computer Vision or Generative AI.
• Strong understanding of ML architecture from development to production.
• Experience with LLMs, fine-tuning and modern AI architectures.
• Experience with model serving and API development (FastAPI/Flask).
• Knowledge of Docker, Kubernetes, CI/CD and MLOps tools (MLflow, Kubeflow).
• Experience deploying ML models on AWS or Azure.
• Bachelor’s degree in CS/Engineering; Master’s/PhD advantageous.

Responsibilities

• Design, train and deploy production-grade ML/AI models across complex use cases.
• Build end-to-end ML pipelines for ingestion, transformation, training, validation, deployment and optimisation.
• Work with traditional ML, deep learning, NLP, CV or Generative AI architectures.
• Fine-tune LLMs/SLMs and contribute to Generative AI solutions.
• Automate training, testing and deployment using CI/CD and MLOps.
• Build scalable model serving for real-time and batch inference.
• Collaborate with Software, Data and AI teams to integrate models into production apps.

Skills

Machine Learning

Deep Learning

NLP

Computer Vision

Generative AI

MLOps

CI/CD

Docker

Kubernetes

API development

Education

Bachelor's in CS/Engineering

Master's or PhD

Tools

FastAPI

Flask

MLflow

Kubeflow

Docker

Job description

DISCOVERED is seeking a highly technical Machine Learning Engineer in Abu Dhabi to build and deploy scalable AI systems across the full ML lifecycle. This hands-on role focuses on production engineering, model development, training, deployment and integration into live applications.

You will work with traditional ML, deep learning, NLP, CV and Generative AI architectures, fine-tune LLMs, and implement CI/CD with MLOps to automate training and deployment.