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Machine Learning Engineer

Tenderd Dubai, United Arab Emirates Posted: 06 Jun 2024

Financial

  • Salary unspecified
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Relocation Support
  • Visa Provided

Requirements

  • Experience: Unspecified
  • English: Professional

Position

About the job: Join Tenderd, a cutting-edge AI-powered analytics platform for fleet operations, as a Machine Learning Engineer in Dubai. Contribute to our vision of orchestrating and automating machines to sustainably build humanity's future. We partner with global leaders in E-commerce, Logistics, Energy, and Construction to optimize capital equipment, reduce fuel consumption, and enhance overall operational efficiency.

Role & Responsibilities:

  • Design and develop algorithms, focusing on pattern recognition and machine learning applications.
  • Implement machine learning models, utilizing statistical analysis and data mining techniques.
  • Develop and optimize neural networks to enhance analytical models.
  • Collaborate with cross-functional teams to integrate machine learning solutions into our analytics platform.
  • Utilize strong programming skills in Python or JavaScript for effective implementation.
  • Work independently and collaboratively to meet project goals.
  • Demonstrate excellent problem-solving and analytical skills.

Qualifications:

  • Proven experience in designing and developing machine learning applications, with a focus on computer vision.
  • Strong programming skills in Python.
  • Familiarity with neural networks, LLMs, deep learning, computer vision, and any other algorithms is a plus.
  • Expertise with PyTorch, Tensorflow, or similar.
  • Expertise with managing labeling processes.
  • Data Engineering experience is a strong plus.
  • Ability to work independently and in a team environment.
  • Experience in the logistics or transportation industry is a plus.
  • Experience with SQL or NoSQL databases is a plus.
Apply now

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About Tenderd

Tenderd is an AI-powered analytics platform for fleet operations. It helps companies increase utilization of their capital equipment and vehicles, optimize logistics and maintenance, reduce fuel consumption, and carbon emissions during operations.