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Senior Data Scientist - Machine Learning

Mindtel

Dubai

On-site

AED 200,000 - 300,000

Full time

4 days ago
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Job summary

A leading tech firm in Dubai is seeking a Senior Data Scientist specializing in Machine Learning. This role involves designing, developing, and deploying AI/ML models to create measurable business impacts. Candidates should possess experience with the lifecycle of machine learning projects and ensure compliance with AI governance and regulations. The position offers a prominent opportunity to influence enterprise-wide AI strategies.

Qualifications

  • Experience in designing and deploying AI/ML models.
  • Strong understanding of MLOps workflows and data pipelines.
  • Familiarity with regulatory compliance in AI development.

Responsibilities

  • Design and develop AI/ML models.
  • Manage machine learning project lifecycle.
  • Ensure compliance and governance in AI development.
Job description
Overview

Senior Data Scientist - Machine Learning

  • Design, develop and deploy AI/ML models to deliver measurable business impact.
  • Own the full lifecycle of machine learning projects from problem framing and data preparation to model training deployment and monitoring.
  • Ensure models are accurate, scalable, and aligned with organizational goals.
  • Translate complex business needs into practical AI solutions with clear performance metrics and governance.
  • Promote transparency and compliance in AI development including Responsible AI practices (fairness, bias mitigation, explainability).
  • Collaborate with stakeholders to identify AI opportunities, define project scope and communicate risks/trade-offs.
  • Build and manage robust data pipelines, feature stores and MLOps workflows to support production ML systems.
  • Ensure governance and regulatory compliance (GDPR ISO ICAO) through audits, risk assessments and transparent reporting.
  • Present insights and recommendations to senior leadership driving adoption of AI/ML initiatives.
  • Serve as a subject matter expert supporting enterprise-wide AI strategy and best practices.
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