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AI / ML Engineer

Resolute Dynamics
Dubai, UAE
Full-time
Entry
Onsite
Discovered 1 weeks ago
Machine learning algorithmsDeep learningStatistical modelingPythonML frameworks: TensorFlow, PyTorch, or Scikit-LearnData preprocessing
Free

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Key skills for this role

Machine learning algorithmsDeep learningStatistical modeling
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About the Role

Develop, deploy, and optimize machine learning models for real-world applications.

Work with current artificial intelligence and machine learning technologies to improve model performance and support innovation.

Principal Responsibilities

  • Design, develop, and optimize machine learning models for various applications.
  • Collect, preprocess, and analyze large datasets to improve model accuracy and efficiency.
  • Deploy, monitor, and maintain machine learning models in production environments.
  • Implement and fine-tune deep learning architectures using TensorFlow and PyTorch.
  • Collaborate with cross-functional teams to integrate AI-driven solutions into products and services.
  • Stay current with advances in AI, machine learning, and data science to enhance system performance.

Required Qualifications

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong understanding of machine learning algorithms, deep learning techniques, and statistical modeling.
  • Proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-Learn.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation.
  • Ability to communicate technical concepts effectively verbally and in writing.
  • Ability to work in a fast-paced environment, make timely decisions, and solve complex problems.

Preferred Qualifications

  • Master’s degree or PhD in AI, Machine Learning, or a related field.
  • At least 2+ years of professional experience in AI/ML development.
  • Experience with AWS, GCP, or Azure for machine learning model deployment.
  • Knowledge of MLOps, model monitoring, and performance optimization techniques.
  • Familiarity with Natural Language Processing, Computer Vision, or Reinforcement Learning.
  • Prior experience at a startup or fast-growing technology company.

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