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Machine Learning Engineer

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Resposibilities :

  • Design, build, and optimize machine learning models and AI workflows to support business objectives.
  • Develop efficient, clean, and scalable Python code for data processing, model training, and deployment.
  • Build and maintain automation systems, data pipelines, and AI-driven tools.
  • Analyze datasets, generate insights, and improve model performance using advanced ML techniques.
  • Collaborate with cross-functional teams to understand requirements and deliver smart, automated solutions.
  • Monitor model accuracy, troubleshoot issues, and continuously fine-tune performance.
  • Document all workflows, models, and processes in a clear technical format.
  • Stay updated with the latest AI trends, frameworks, and technologies to ensure continuous innovation.

Requerments :

  • Strong proficiency in Python and experience with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
  • Hands-on experience in machine learning model development, testing, deployment, and performance evaluation.
  • Good understanding of LLMs, natural language processing, automation tools, and AI integrations (optional but preferred).
  • Experience with APIs, data scraping, and integrating ML models into live environments.
  • Ability to work independently during evening shifts with minimal supervision.
  • Excellent problem-solving, debugging, and analytical thinking skills.
  • Strong communication skills and ability to translate technical concepts to non-technical teams.
  • Previous experience in AI, software engineering, or data science roles is an advantage.

Benefits :

  • Competitive salary package based on experience and skill level.
  • Professional and stable work environment in Dubai.
  • Opportunity to work on advanced AI solutions and real-world machine learning applications.
  • Career growth and continuous skill development through exposure to challenging technical projects.
  • Supportive team environment with access to modern tools, technologies, and resources.
  • Evening-shift arrangement offering flexibility and reduced daytime workload.

To apply, please submit your CV to the following email :

mub.tarq@gmail.com

نوع الوظيفة: دوام كامل

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