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FIC-AI03

Machine Learning & AI Services

Investment Range

AED 30,000–65,000

Advanced ML engineering covering model development, feature engineering, hyperparameter tuning, ensemble methods, model serving, A/B testing, and continuous retraining pipelines. Designed for organizations scaling AI capabilities.

What's Included

Advanced feature engineering and selection
Hyperparameter optimization at scale
Ensemble and stacking model architectures
Distributed training infrastructure
Model serving with low-latency inference
Continuous retraining and drift detection
Experiment tracking and reproducibility
Performance benchmarking and reporting

Ideal For

AI teams needing expert ML engineering to improve model accuracy
Organizations scaling from prototype ML to production systems
Companies requiring low-latency inference for real-time applications
Data science teams looking to operationalize their research

Our Approach

Discovery

Understanding your requirements, constraints, and success criteria.

Architecture

Designing the optimal solution, technology stack, and project roadmap.

Development

Building with iterative sprints, continuous feedback, and quality gates.

Delivery

Deployment, knowledge transfer, and ongoing support.

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