ML Engineer

BBI; Dubai; On-site; AED 350,000 - 650,000; Full time

Job summary

BBI in Dubai is seeking an experienced ML Engineer to deploy and scale AI models from PoC to production within a CI/CD framework. You will optimise inference speed, manage monitoring, and collaborate closely with data scientists and product teams to ensure robust, well-documented solutions.

The role requires 5–9 years of experience, strong Python skills, and hands-on familiarity with Docker, Kubernetes, MLflow and Cloud/MLOps tools. Dubai on-site, salary competitive for the region.

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI or related field.
• 5-9 years of relevant experience.
• Proficiency in Python and libraries such as PyTorch, NumPy, Pandas and Scikit-learn.
• Knowledge of model deployment/containerisation (Docker, Kubernetes) and SQL/NoSQL databases.
• Familiarity with a cloud platform and MLOps tooling (MLflow, ClearML, etc.); edge deployment experience a plus.

Responsibilities

• Deploy ML models and AI pipelines from PoC through to scalable, reliable production, via CI/CD and orchestration.
• Implement monitoring and maintenance strategies for deployed models.
• Optimise models for inference speed and resource efficiency (TensorRT, OpenVINO, ONNX, pruning, quantisation).
• Perform data collection, cleaning and feature engineering to prepare datasets for training.
• Collaborate with data scientists, engineers and product managers; maintain clear documentation.

Skills

Python

Machine Learning concepts

Data processing

Education

Bachelor's or Master's in CS/ML/Data Science/AI

Tools

Docker

Kubernetes

MLflow

ClearML

SQL

NoSQL

ONNX

TensorRT

Job description

Responsibilities:

• Deploy ML models and AI pipelines from PoC through to scalable, reliable production, via CI/CD and orchestration
• Implement monitoring and maintenance strategies for deployed models
• Optimise models for inference speed and resource efficiency (TensorRT, OpenVINO, ONNX, pruning, quantisation)
• Perform data collection, cleaning and feature engineering to prepare datasets for training
• Collaborate with data scientists, engineers and product managers; maintain clear documentation

Qualifications:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI or related field
• 5-9 years of relevant experience
• Proficiency in Python and libraries such as PyTorch, NumPy, Pandas and Scikit-learn
• Knowledge of model deployment/containerisation (Docker, Kubernetes) and SQL/NoSQL databases
• Familiarity with a cloud platform and MLOps tooling (MLflow, ClearML, etc.); edge deployment experience a plus