A global leader in the Technology, Information and Internet industry is hiring an AI/ML Engineer for a fully remote role open to candidates in the UAE, designing, developing, and deploying machine learning models that drive real business outcomes, collaborating with cross-functional teams to integrate AI solutions into production systems, with a payout range of $160K-$300K/yr.
 About the Opportunity — Remote AI/ML Engineering
Role Title: Member of Technical Staff, AI/ML Engineering
Work Format: Fully remote, work from anywhere
Compensation: $160,000 – $300,000 per year
Core Frameworks: Python, TensorFlow, and PyTorch
Cloud Expertise: AWS, GCP, or Azure for deploying and managing ML models
areer Impact & Remote Flexibility
Global Reach: Fully remote position open to qualified candidates across the UAE and beyond
High-Impact Projects: Contribute to cutting-edge AI solutions for a global technology leader
Competitive Compensation: One of the highest salary ranges available in remote AI/ML engineering
Career Growth: Direct exposure to advanced AI/ML research and professional development opportunities
 Position Overview
We are hiring for one of our clients, seeking a Member of Technical Staff, AI/ML Engineering to work on a full-time basis. The role involves designing, developing, and deploying machine learning models that drive business outcomes. You will collaborate with cross-functional teams to integrate AI solutions into production systems, working with a global leader in the Technology, Information and Internet industry.
Why This Role Matters:Â As AI/ML Engineer, you design and deploy scalable machine learning models with direct, measurable business impact, work fully remote from anywhere with a competitive $160K-$300K/yr compensation range, apply Python, TensorFlow, and PyTorch expertise to real production systems, collaborate with cross-functional software engineering teams on high-impact AI projects, stay at the forefront of AI/ML research and apply it to live solutions, and join a global technology leader offering genuine career growth and exposure to cutting-edge innovation.
Key Responsibilities
Model Design & Development
- Design, build, and optimize scalable AI/ML models for real-world applications
- Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, and model training
Production Deployment & Collaboration
- Collaborate with software engineers to deploy models into production systems with scalability and reliability
- Apply software engineering best practices, including version control and CI/CD pipelines, to ML deployment
Testing, Validation & Continuous Improvement
- Conduct rigorous testing and validation to ensure model performance and accuracy
- Stay current with advancements in AI/ML research and apply them to improve existing solutions
 Qualifications & Requirements
Essential Skills
- Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow or PyTorch
- Strong background in machine learning algorithms, including supervised and unsupervised learning techniques
- Experience with data processing and analysis tools, such as SQL, Pandas, or NumPy
- Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying and managing ML models
- Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines
About the Opportunity
This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position provides exposure to high-impact projects with opportunities for professional growth, all within a fully remote, work-from-anywhere structure and a highly competitive $160K-$300K/yr compensation range. All qualified candidates are welcome regardless of background, experience, or prior employment history, with applications reviewed solely on demonstrated technical ability.
Career Excellence: Build a high-paying, fully remote AI/ML engineering career with a global technology leader, working on production-grade AI systems from anywhere in the world.
Who Should Apply?
- AI/ML Engineers:Â With proven Python, TensorFlow, or PyTorch expertise
- Machine Learning Specialists:Â Experienced in supervised and unsupervised learning techniques
- Cloud-Focused Engineers:Â Comfortable deploying models on AWS, GCP, or Azure
- Remote-First Tech Professionals:Â Seeking high-paying, flexible, work-from-anywhere roles
- Data & Software Engineers:Â With CI/CD and version control experience wanting to move into ML
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