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Data Scientist

Job in Dubai, Dubai, UAE/Dubai
Listing for: Dicetek LLC
Full Time position
Listed on 2025-12-03
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

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Job Summary

We are seeking a talented and innovative Data Scientist with expertise in Machine Learning (ML), Artificial Intelligence (AI), and proficiency in .NET Core, Power Apps, and



Job Summary

We are seeking a talented and innovative Data Scientist with expertise in Machine Learning (ML), Artificial Intelligence (AI), and proficiency in .NET Core, Power Apps, and

SharePoint. The ideal candidate will be responsible for designing, developing, and implementing AI and ML models while integrating them into business applications using

  • NET Core and Microsoft platforms such as Power Apps and SharePoint. This role is central to our Innovation Team and will drive forward AI-powered solutions that support our business goals and enhance operational efficiency.


Key Responsibilities

Machine Learning & AI Development:

  • Develop, train, and deploy machine learning models for predictive analytics, natural language processing (NLP), and image recognition using frameworks like
Tensor Flow, PyTorch, and Keras.
  • Implement deep learning architectures for AI applications including computer vision, speech recognition, and automation.
  • Continuously research emerging AI technologies and apply innovative approaches to real-world business problems.
  • Develop and integrate AI/ML models into business processes using Power Apps and SharePoint to ensure data-driven decision-making across the organization.
  • NET Core & Microsoft Platform Integration:
  • Utilize .NET Core to develop scalable, high-performance applications that support
AI Models And Other Business Systems.

  • Design and implement custom applications using Power Apps to create user-friendly interfaces for AI-driven solutions.
  • Integrate AI models with SharePoint to create a seamless experience for collaboration, document management, and automated workflows.
  • Ensure AI/ML applications are scalable, secure, and well-documented within the Microsoft ecosystem.
Data Science & Automation

  • Work with large datasets, performing data wrangling, preprocessing, and feature engineering to prepare data for AI/ML models.
  • Automate AI and machine learning processes, ensuring efficiency in model training, deployment, and performance monitoring.
  • Build Power Apps solutions to streamline data collection and reporting, integrating seamlessly with SharePoint and other Microsoft 365 services.
  • Create and manage SharePoint sites to organize data, store AI models, and automate business workflows.
Innovation And Collaboration

  • Collaborate with cross-functional teams, including developers, data engineers, and business analysts, to build AI-powered applications that enhance business
capabilities.
  • Lead AI-driven projects by experimenting with new technologies and delivering proof-of-concepts (POCs) and minimum viable products (MVPs).
  • Present AI/ML findings and insights to senior leadership, demonstrating how innovative technologies can drive business value.
Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or related field.
  • Proven experience (3+ years) as a Data Scientist with a strong focus on machine learning and artificial intelligence.
  • Proficiency in .NET Core for building and deploying scalable applications.
  • Experience with Microsoft Power Apps for creating custom business applications and workflows.
  • Expertise in SharePoint for integrating AI solutions and managing data flows within business environments.
  • Strong programming skills in Python and experience with AI/ML frameworks such as Tensor Flow, PyTorch, and Keras.
  • Experience in building, training, and deploying machine learning models.
  • Hands-on experience with data processing, feature engineering, and model optimization.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for deploying AI solutions.
Preferred Skills

  • Experience with Power Automate for creating automated workflows in Microsoft environments.
  • Knowledge of Microsoft AI Builder for integrating AI into Power Apps and SharePoint.
  • Strong understanding of MLOps, model deployment, and…
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