Remote ML Engineer - Build Real-World AI Models

Remotedxb; Dubai; On-site; AED 240,000 - 480,000; Full time

Job summary

EVB, a venture-backed AI company, is hiring a remote ML engineer to design and refine machine learning models using Python and popular frameworks. You will analyze large datasets with MongoDB, collaborate across teams, and document experiments to support repeatable workflows.

The role emphasizes evaluating models, hyperparameter tuning, and delivering actionable insights. The position requires strong Python ML skills (scikit-learn, TensorFlow, PyTorch), plus experience deploying ML in cloud or

Qualifications

• Experience with Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Hands-on MongoDB for data handling in ML projects.
• Strong problem-solving with a track record of ML solutions.

Responsibilities

• Design, develop and refine ML models in Python and relevant libraries.
• Analyze large datasets and use MongoDB to manage data for training and validation.
• Collaborate with cross-functional teams to identify model improvements and implement robust solutions.
• Evaluate models, tune hyperparameters, and benchmark results for optimal performance.
• Document methodologies, experiments, and outcomes for repeatable workflows.
• Integrate data pipelines and preprocessing for training and inference.
• Deliver data-driven insights and recommendations from ML results.

Skills

Problem-solving

Documentation

Communication

Remote collaboration

Tools

Python

scikit-learn

TensorFlow

PyTorch

MongoDB

Job description

EVB, a venture-backed AI company, is hiring a remote ML engineer to design and refine machine learning models using Python and popular frameworks. You will analyze large datasets with MongoDB, collaborate across teams, and document experiments to support repeatable workflows.

The role emphasizes evaluating models, hyperparameter tuning, and delivering actionable insights. The position requires strong Python ML skills (scikit-learn, TensorFlow, PyTorch), plus experience deploying ML in cloud or