ML Engineer: Production-Scale AI & MLOps

Primis; Abu Dhabi; On-site; AED 280,000 - 520,000; Full time

Job summary

Primis is seeking a Machine Learning Engineer to design, develop, and deploy scalable ML/AI solutions that tackle complex business challenges and enable smarter decision-making.

You will work on production-grade ML models, end-to-end pipelines, and AI architectures, collaborating with engineering, product, data, and other teams to integrate AI into applications and deliver end-to-end solutions.

Qualifications

• 3–7 years of experience building production-grade, scalable AI/ML systems.
• Strong expertise in machine learning, with experience in deep learning, NLP, CV, or generative AI/LLMs.
• Strong understanding of ML system architecture and productionisation.
• Experience with model serving and API development using FastAPI or Flask.
• Good understanding of Docker, Kubernetes, CI/CD, and MLOps tools such as MLflow or Kubeflow.
• Experience deploying ML models on AWS or Azure.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Responsibilities

• Design, develop, train, and optimise end-to-end ML pipelines (data ingestion, transformation, training, validation, deployment).
• Build production-grade AI/ML models across DL, NLP, CV, and generative AI domains.
• Collaborate with engineering, product, data, and cross-functional teams to deploy AI models in applications.
• Perform model tuning, monitoring, and performance optimisation for real-time and batch inference.
• Automate model training, testing, and deployment via CI/CD and MLOps practices.
• Develop scalable ML system architectures for robust production environments.
• Evaluate and implement best practices for model serving and API interfaces.
• Drive continuous improvement and production-readiness of AI platforms.

Skills

Machine learning

Deep learning

NLP

Computer vision

Generative AI / LLMs

Model serving

API development

MLOps

Close collaboration

CI/CD

Data analysis

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Master’s or PhD in CS/AI (nice to have)

Tools

Docker

Kubernetes

CI/CD

MLflow

Kubeflow

AWS

Azure

Job description

Primis is seeking a Machine Learning Engineer to design, develop, and deploy scalable ML/AI solutions that tackle complex business challenges and enable smarter decision-making.

You will work on production-grade ML models, end-to-end pipelines, and AI architectures, collaborating with engineering, product, data, and other teams to integrate AI into applications and deliver end-to-end solutions.