Lead AI Consultant & Senior AI/ML Engineer – Generative AI, Machine Learning & Enterprise AI Solutions | UAE, Al Khobar & Dammam

Location

United Arab Emirates (UAE), Al Khobar, Saudi Arabia & Dammam, Saudi Arabia

Job Category

Information Technology (IT) & Software

Science & Research

Engineering & Technical

Telecommunications

Business Development

Job Overview

An exciting opportunity is available for experienced AI professionals to join a growing organization as a Lead AI Consultant and Senior AI/ML Engineer. These onsite positions are based in the UAE, Al Khobar, and Dammam and are ideal for candidates with extensive experience in Artificial Intelligence, Machine Learning, Generative AI, and enterprise-scale digital transformation initiatives.

The successful candidates will be responsible for designing, developing, deploying, and scaling advanced AI solutions that address complex business challenges. Working closely with stakeholders, business leaders, and technical teams, they will transform business requirements into innovative AI-powered solutions using cutting-edge technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Computer Vision, Deep Learning, and MLOps frameworks.

These roles offer exceptional career growth opportunities for AI professionals seeking exposure to enterprise AI strategy, advanced machine learning architectures, cloud-native deployments, and industrial AI applications. Candidates will contribute to high-impact projects while enhancing their expertise in emerging AI technologies, solution architecture, and business transformation.

Key Responsibilities

• Design, develop, and deploy Machine Learning, Deep Learning, Computer Vision, and Generative AI solutions.
• Build and optimize Large Language Model (LLM) applications and Retrieval-Augmented Generation (RAG) architectures.
• Develop AI-powered applications using LangChain, LangGraph, LlamaIndex, vector databases, and foundation models.
• Implement and optimize LoRA and Q-LoRA techniques for model fine-tuning.
• Design scalable model training pipelines and machine learning workflows.
• Establish and maintain MLOps processes including experiment tracking, model registry, deployment, monitoring, and governance.
• Develop and manage cloud-native AI environments using Azure, AWS, Docker, and Kubernetes.
• Implement AI orchestration and workflow automation using MLflow, Kubeflow, and Airflow.
• Design and manage data pipelines, API integrations, and data quality frameworks.
• Ensure compliance with data governance and enterprise security standards.
• Collaborate with business stakeholders to gather requirements and define AI solution strategies.
• Conduct workshops, feasibility assessments, and AI solution architecture reviews.
• Present technical concepts, AI strategies, and implementation roadmaps to leadership teams.
• Support enterprise and industrial system integrations involving AI and advanced analytics solutions.
• Drive innovation initiatives and contribute to organizational AI transformation programs.

Requirements & Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
• Minimum 10 years of professional experience in software engineering, AI, machine learning, data science, or related domains.
• Strong experience in Machine Learning, Deep Learning, Computer Vision, and Generative AI.
• Hands-on expertise with Python and AI/ML frameworks including:

• PyTorch
• TensorFlow
• Scikit-learn
  • Extensive experience with:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• LangChain
• LangGraph
• LlamaIndex
• Vector Databases
• Foundation Models
• LoRA and Q-LoRA
  • Strong knowledge of MLOps methodologies and lifecycle management.
  • Experience with:
• Azure and AWS Cloud Platforms
• Docker
• Kubernetes
• MLflow
• Kubeflow
• Airflow
  • Strong understanding of SQL databases, APIs, data pipelines, and data governance.
  • Experience integrating AI solutions with enterprise or industrial systems.
  • Excellent analytical, problem-solving, and solution architecture capabilities.
  • Strong stakeholder management and communication skills.
  • Ability to lead workshops and facilitate business requirement discussions.
  • Experience presenting technical concepts to executive leadership and business teams.
  • Ability to work independently in complex and evolving environments.

Employment Type

Full-Time

Notice Period

Immediate to 30 Days

Salary, Benefits & Career Growth

Salary information has not been disclosed by the employer.

Benefits may be provided according to company policies and will be discussed during the recruitment process.

Career Growth Opportunities:

• Lead enterprise-scale AI and digital transformation initiatives.
• Gain exposure to cutting-edge Generative AI, LLM, and MLOps technologies.
• Work on advanced industrial and enterprise AI implementations.
• Develop expertise in AI architecture, governance, and cloud-native machine learning platforms.
• Access professional development, technical training, and advanced AI certifications.
• Progress into AI Leadership, Principal AI Engineer, AI Architect, Head of AI, or Chief AI Officer career pathways.

Application Process

Application Process (Website):

Apply only through the official recruitment process.

Click Apply Now on the website if available and follow the employer’s instructions.

HR Email for Application

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