Machine Learning (AI) Engineer

HUMAN-AI-Z Nexus Technology; Dubai; Hybrid; AED 734,000 - 1,836,000; Full time

Job summary

HUMAN-AI-Z Nexus Technology is seeking an AI Engineer to develop and deploy machine learning models powering core product features. This hybrid role involves collaborating with cross-functional teams to design scalable AI solutions that enhance user experience and operational efficiency.

The ideal candidate will have strong Python, TensorFlow, and PyTorch skills, plus experience with MLOps and cloud platforms.

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.

Responsibilities

• Design, train, and optimize machine learning models using Python, Tensor Flow, 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.

Skills

Python

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation

Education

Bachelor's degree in CS/EE or related field

Tools

MLflow

Kubeflow

SageMaker

Git

CI/CD

Job description

Role: Machine Learning (AI) Engineer (Hybrid) 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, Tensor Flow, 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, Tensor Flow, and PyTorch for model development and training.
• Experience with MLOps tools such as MLflow, Kubeflow, or Sage Maker 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.