AI Engineer - MLOps

Majid Al Futtaim; Dubai; On-site; AED 290,160 - 446,400; Full time

Benefits offered by this job

Opportunities for professional growth

Exposure to cutting-edge AI technologies

Job summary

Majid Al Futtaim in Dubai seeks an AI Engineer specialized in MLOps. This role emphasizes design and deployment of AI solutions for scalable business impact.

The ideal candidate will have 4-8 years of experience in software engineering with a strong focus on AI, producing enterprise-grade systems. Join a dynamic team committed to digital transformation and intelligent automation.

Qualifications

• 4 to 8 years of professional experience in software engineering, data engineering, AI engineering, or machine learning engineering.
• At least 3 years focused on AI/ML engineering, MLOps, or production model deployment.
• Proven experience delivering production-grade AI systems and integrating models into business applications.

Responsibilities

• Design and build end-to-end AI solutions covering model training pipelines and deployment environments.
• Develop APIs and microservices embedding AI models into business systems.
• Create MLOps frameworks for model lifecycle management including CI/CD for machine learning.

Skills

AI engineering

Machine learning engineering

MLOps

Generative AI

Production AI deployment

Python

API development

Microservices

TensorFlow

PyTorch

scikit‑learn

MLflow

Kubeflow

Airflow

CI/CD for machine learning

Model lifecycle management

Model governance

Retrieval‑augmented generation

Embeddings

Vector databases

Feature stores

Data lakes

Quantization

Model compression

Distillation

Terraform

Helm

Kubernetes

Secure AI platforms

Education

Bachelor's or master's degree in Computer Science, AI, Machine Learning, or Software Engineering

Tools

Python

TensorFlow

PyTorch

MLflow

Kubeflow

Airflow

Terraform

Helm

Kubernetes

Job description

AI Engineer - MLOps (Job Snapshot)

Role: AI Engineer; Location: Dubai, United Arab Emirates; Industry: IT and Services; Function: IT-Software Development; Experience: 4 to 8 years; Job Type: Full-time; Salary: 26000-40000. Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.

AI Engineer in Dubai, United Arab Emirates is an advanced IT and Services role focused on production-grade AI systems, MLOps frameworks, generative AI integration, scalable model deployment, and secure automation platforms for Majid Al Futtaim Holding. This opportunity is suited to a hands‑on AI and software engineering professional who can connect machine learning experimentation with reliable enterprise systems, reusable deployment pipelines, and business‑ready AI solutions.

Key Responsibilities

• Design and build end‑to‑end AI and machine learning solutions covering model training pipelines, deployment environments, monitoring, and performance optimization
• Develop APIs, microservices, and integration layers that embed AI models into business systems, data platforms, enterprise applications, and digital products
• Create and operate MLOps frameworks for model lifecycle management, including CI/CD for machine learning, automated testing, deployment orchestration, and release control
• Establish model governance practices covering versioning, documentation, approval flows, rollback procedures, auditability, and responsible AI controls
• Work with infrastructure, cloud, security, and DevOps teams to deliver secure, compliant, scalable, and cost‑optimized environments for AI workloads
• Integrate AI solutions with feature stores, vector databases, data lakes, enterprise data sources, and reusable data pipelines
• Build retrieval‑augmented generation solutions using embeddings, vector search, and large language models for enterprise knowledge and automation use cases
• Support AI delivery squads by designing shared components, standardized frameworks, deployment templates, and reusable engineering patterns
• Improve model performance through inference optimization techniques such as quantization, model compression, distillation, and efficient serving design
• Maintain strong reliability across deployed AI systems by supporting monitoring, troubleshooting, incident response, and continuous technical improvement

Ideal Profile

• Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field
• 4 to 8 years of professional experience in software engineering, data engineering, AI engineering, machine learning engineering, or platform development
• At least 3 years of focused experience in AI/ML engineering, MLOps, production model deployment, or enterprise machine learning infrastructure
• Proven experience delivering production‑grade AI systems and integrating models into real business applications or large‑scale digital platforms
• Hands‑on knowledge of AI and machine learning frameworks such as TensorFlow, PyTorch, scikit‑learn, or similar tools
• Practical experience with MLOps and orchestration tools such as MLflow, Kubeflow, Airflow, or related deployment and workflow platforms
• Strong software engineering ability with Python, API development, microservices, automated testing, and production‑grade coding practices
• Experience with model serving, inference optimization, vector databases, feature stores, data lakes, embeddings, and RAG‑based enterprise AI solutions
• Familiarity with DevOps practices, infrastructure as code, Terraform, Helm, containers, Kubernetes, and security standards for AI environments is beneficial
• Strong communication skills with the ability to work across technology, data, infrastructure, security, and business teams

Skills Set

• AI engineering
• Machine learning engineering
• MLOps
• Generative AI
• Production AI deployment
• Python
• API development
• Microservices
• TensorFlow
• PyTorch
• scikit‑learn
• MLflow
• Kubeflow
• Airflow
• CI/CD for machine learning
• Model lifecycle management
• Model governance
• Retrieval‑augmented generation
• Embeddings
• Vector databases
• Feature stores
• Data lakes
• Quantization
• Model compression
• Distillation
• Terraform
• Helm
• Kubernetes
• Secure AI platforms

Why Join Us

• Work on enterprise AI platforms within a leading UAE‑based group with strong investment in digital transformation and intelligent automation
• Build and deploy scalable AI systems that support data‑driven decisions, operational efficiency, and business innovation across multiple sectors
• Gain hands‑on exposure to generative AI, MLOps, RAG, model governance, cloud infrastructure, and production engineering at enterprise scale
• Collaborate with technology, data, infrastructure, security, and strategy teams on reusable AI solutions with real business impact
• Grow in a future‑focused environment where AI engineering, responsible governance, and scalable platform development are becoming core business capabilities

About the Company

Majid Al Futtaim is a leading UAE‑headquartered business group with operations across retail, communities, shopping malls, entertainment, leisure, and lifestyle sectors. Through Majid Al Futtaim Holding, the company provides strategic direction, enterprise technology, governance, innovation, and digital transformation capability across its regional portfolio. The organization continues to invest in scalable platforms, responsible AI adoption, data‑driven growth, and customer‑focused technology solutions.