AI​/ML Engineer | IDC Technologies | UAE

Position Summary

As an AI/ML Engineer at IDC Technologies, you will lead the architecture, development, and deployment of enterprise-grade machine learning models and intelligent conversational AI systems. Based in Abu Dhabi, UAE, this pivotal technical role focuses on creating high-impact predictive analytics, time-series forecasting frameworks, and intelligent chatbot applications. You will operate at the intersection of advanced data science and production software engineering, driving data-informed business transformation while modernizing digital consumer engagement across fast-paced e-commerce and retail environments.

The AI/ML Engineer is responsible for the complete lifecycle of scalable artificial intelligence and machine learning solutions, spanning exploratory data analysis, feature engineering, model architecture, training, and production containerized inference. You will design, benchmark, and deploy sophisticated conversational agents and generative AI interfaces, alongside advanced algorithmic models dedicated to demand forecasting, customer segmentation, recommendation systems, and inventory optimization. Working within agile development workflows, you will partner closely with data engineers, software developers, and business stakeholders to operationalize performant machine learning models.

In this role, you will implement robust MLOps practices, establish CI/CD deployment pipelines, build automated model retraining workflows, and ensure continuous monitoring against concept and data drift. The scope demands an analytical problem-solver adept at handling unstructured and structured datasets, optimizing deep learning inference latencies, and integrating predictive APIs into distributed enterprise applications. By championing industry-standard data governance, performance tuning, and scalable model architectures, you will play an essential role in driving measurable commercial outcomes and technology innovation across the Middle East market.

• Design, train, evaluate, and operationalize high-performance machine learning models and deep learning algorithms for retail and commercial business use cases.
• Develop, fine-tune, and deploy intelligent conversational AI systems, multi-turn chatbots, and Natural Language Processing (NLP) solutions.
• Build robust time-series forecasting, predictive demand, customer lifetime value, and inventory replenishment models tailored for retail and e-commerce ecosystems.
• Spearhead end-to-end data pipelines, including data ingestion, automated cleaning, feature extraction, and feature store governance.
• Implement scalable MLOps architectures, automated CI/CD deployment pipelines, model versioning, and continuous model performance monitoring.
• Optimize machine learning models and inference runtime environments for low latency, high throughput, and cost-efficient cloud execution.
• Package and deploy AI/ML microservices using Docker containers, RESTful APIs, and cloud-native orchestration frameworks.
• Collaborate with cross-functional technical teams, software architects, and data engineers to integrate predictive AI models into production applications.
• Monitor deployed models in production to detect data drift, model degradation, and bias, implementing automated retraining routines.
• Produce comprehensive technical architecture documentation, model evaluation reports, API specifications, and operational maintenance guides.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Electrical Engineering, or a closely related technical field.
• Proven professional experience as an AI/ML Engineer, Data Scientist, or Machine Learning Specialist…