Machine Learning Engineer

5 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Talent 360 ME Full time

About Us at Talent 360 ME

We provide a comprehensive platform that streamlines corporate expense management, allowing companies to control spending and make informed financial decisions. Our solution integrates various data sources, ensuring seamless control over corporate expenses.

Key Responsibilities
  1. Data Pipeline Development
    • Design, build, and maintain ETL/ELT data pipelines for collecting, processing, and storing structured and unstructured data.
    • Develop and manage the data warehouse (DWH) architecture to ensure scalability and efficiency.
    • Integrate and optimize data from multiple sources, including databases, APIs, third-party tools, and business applications.
    • Ensure data integrity, consistency, and security across all systems.
  2. Business Insights and Reporting
    • Collaborate with business teams to understand data needs and develop dashboards and reports for key performance indicators (KPIs).
    • Use SQL, Python, R, or BI tools (Tableau, Power BI, Looker, etc.) to analyze and visualize data effectively.
    • Provide actionable insights to drive business strategies, optimize operations, and improve customer experiences.
  3. Data Science and Advanced Analytics
    • Apply machine learning and statistical modeling to uncover trends, predict outcomes, and drive strategic decisions.
    • Implement A/B testing frameworks and experiments to measure business impact.
    • Optimize algorithms for fraud detection, customer segmentation, demand forecasting, and operational efficiency.
  4. Collaboration and Communication
    • Work closely with engineers to optimize data infrastructure and pipelines.
    • Partner with business stakeholders to define data-driven strategies and objectives.
    • Act as a bridge between technical and non-technical teams, ensuring that analytics solutions align with business needs.


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