Machine Learning (AI) Engineer (Hybrid)

Quik Hire Staffing; United Arab Emirates; On-site; AED 734,000 - 1,836,000; Full time

Job summary

Quik Hire Staffing is seeking an AI/ML Engineer to design, train, and deploy machine learning models powering core product features. This remote, full-time role involves collaborating with cross-functional teams to build scalable AI solutions that enhance user experience and drive operational efficiency.

You'll work with Python, TensorFlow, PyTorch, and modern MLOps practices across AWS, GCP, or Azure, with emphasis on reliable data pipelines, model evaluation, and production-grade deployment.

Qualifications

• Proficiency in Python, TensorFlow, and PyTorch for model development and training.
• Experience with MLOps tools for deployment and monitoring (MLflow, Kubeflow, SageMaker).
• Strong data preprocessing, feature engineering, and evaluation metrics understanding.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infra.
• Knowledge of Git and CI/CD best practices.

Responsibilities

• Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch.
• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.
• Implement MLOps practices to streamline model deployment, monitoring, and version control.
• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.
• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.

Skills

Python

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation metrics

Cloud platforms

Git

CI/CD

Tools

MLflow

Kubeflow

SageMaker

Job description

• Location: Remote
• Job Type: Full-Time
• Payout: $200K - $500K/yr

Role Overview:

We are hiring for one of our clients, seeking an AI/ML Engineer to develop and deploy machine learning models that power core product features. The role involves collaborating with cross‑functional teams to design scalable AI solutions that enhance user experience and operational efficiency.

Key Responsibilities:

• Design, train, and optimize machine learning models using Python, TensorFlow, and PyTorch frameworks.
• Develop and maintain data pipelines to ensure high-quality input for model training and evaluation.
• Implement MLOps practices to streamline model deployment, monitoring, and version control.
• Collaborate with data scientists and software engineers to integrate AI capabilities into production systems.
• Conduct performance benchmarking and A/B testing to validate model accuracy and business impact.

Required Skills & Qualifications:

• Proficiency in Python, TensorFlow, and PyTorch for model development and training.
• Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for deployment and monitoring.
• Strong background in data preprocessing, feature engineering, and model evaluation metrics.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.
• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the advancement of AI-driven product solutions. The position involves solving complex technical challenges in a collaborative environment with access to cutting‑edge tools and datasets.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.