Remote ML Engineer — Deploy AI Models at Scale

Quik Hire Staffing; United Arab Emirates; Remote; AED 441,000 - 661,000; Full time

Job summary

Quik Hire Staffing is seeking a Machine Learning Engineer for a full-time, remote role. You will design, develop, and deploy ML models to solve business challenges, collaborating with cross-functional teams to integrate AI solutions into existing systems.

You will work with Python, TensorFlow or PyTorch, and cloud platforms to optimize model performance, build data pipelines, and evaluate experiments to drive impactful results.

Qualifications

• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
• Strong background in data structures, algorithms, and statistics.
• Experience with cloud platforms for deployment and scaling.
• Knowledge of SQL for data extraction and preprocessing.
• Familiarity with version control and collaborative workflows.
• Understanding of MLOps for monitoring and CI.
• Experience with hyperparameter tuning and model optimization.
• Ability to work independently in a fast-paced environment.

Responsibilities

• Design and implement ML models using Python, TensorFlow, or PyTorch to address specific business problems.
• Collaborate with data scientists and software engineers to deploy models into production environments.
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Skills

Python

Data structures

Algorithms

Statistical modeling

MLOps

Cloud platforms (AWS/GCP/Azure)

SQL

Git

Hyperparameter tuning

Tools

TensorFlow

PyTorch

Job description

Quik Hire Staffing is seeking a Machine Learning Engineer for a full-time, remote role. You will design, develop, and deploy ML models to solve business challenges, collaborating with cross-functional teams to integrate AI solutions into existing systems.

You will work with Python, TensorFlow or PyTorch, and cloud platforms to optimize model performance, build data pipelines, and evaluate experiments to drive impactful results.