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Machine Learning Engineer (Remote)

Quik Hire Staffing
Abu Dhabi, UAE
Contract
Entry
Onsite
$20-$90 per hour
Discovered 1 weeks ago
PythonTensorFlow or PyTorchMachine learning model developmentData structures and algorithmsStatistical modelingAWS, Google Cloud, or Azure
Free

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Key skills for this role

PythonTensorFlow or PyTorchMachine learning model development
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Role Overview

The employer is seeking a Machine Learning Engineer on a contract basis.

The role designs, develops, and deploys machine learning models to solve complex business challenges.

The position integrates AI solutions into existing systems and optimizes model performance.

Compensation

  • Payout is $20-$90 per hour.

Workplace

  • The role is remote and can be performed from anywhere.

Key Responsibilities

  • Design and implement machine learning models using Python, TensorFlow, or PyTorch for 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.
  • Develop and maintain data preprocessing, feature engineering, and model training pipelines.
  • Conduct experiments to evaluate model performance and iterate on improvements.

Required Skills and Qualifications

  • Proficiency in Python and experience with TensorFlow or PyTorch.
  • Strong background in data structures, algorithms, and statistical modeling techniques.
  • Experience with AWS, Google Cloud, or Azure for model deployment and scaling.
  • Knowledge of SQL and databases for data extraction and preprocessing.
  • Familiarity with 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.

Opportunity Context

The opportunity contributes to AI-driven solutions that improve operational efficiency and customer experiences at a global technology company.

The position involves solving high-impact problems with current machine learning tools and methodologies.

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