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Machine Learning Engineer; Remote

Remote / Online - Candidates ideally in
UAE/Dubai
Listing for: Quik Hire Staffing
Full Time, Remote/Work from Home position
Listed on 2026-10-01
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 441000 - 661000 AED Yearly AED 441000.00 661000.00 YEAR
Job Description & How to Apply Below
Position: Machine Learning Engineer (Remote)
  • Location
    :
    Remote (Work from Anywhere)
Role Overview :

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-Time basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.

Key Responsibilities:
  • Design and implement machine learning models using Python, Tensor Flow, 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.
Required Skills &

Qualifications:
  • Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.
  • Strong background in data structures, algorithms, and statistical modeling techniques.
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
  • Knowledge of SQL and databases for data extraction and preprocessing tasks.
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows.
  • Understanding of MLOps practices for model monitoring, logging, and continuous integration.
  • Experience with hyperparameter tuning and model optimization techniques.
  • Ability to work independently and manage multiple tasks in a fast-paced environment.
More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.

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.

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