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Machine Learning Engineer

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: Vistas Global
Full Time position
Listed on 2026-09-27
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 240000 - 360000 QAR Yearly QAR 240000.00 360000.00 YEAR
Job Description & How to Apply Below

Senior Machine Learning Engineer – IT

Location:

Qatar

Department:
Information Technology

Experience:

5+ Years

Education:

Bachelor's in Computer Science, AI, Data Science, Data Engineering, or related field. Master's preferred.

Role Summary

We are seeking a Senior Machine Learning Engineer to design, develop, deploy, and operate scalable ML solutions for enterprise applications, including document processing, anomaly detection, and intelligent automation.

Key Responsibilities
  • Define ML problem statements, data requirements, and solution approaches.
  • Build reliable data pipelines and ensure data quality and preprocessing.
  • Develop, train, evaluate, and optimize Machine Learning and Deep Learning models.
  • Deploy scalable ML models and inference services into production.
  • Monitor model performance, data quality, and model/data drift.
  • Implement MLOps pipelines, CI/CD, model versioning, and automated deployment.
  • Ensure ML solutions meet security, privacy, governance, and compliance requirements.
  • Optimize ML infrastructure for performance, scalability, and cost.
  • Integrate ML models with applications through REST APIs and enterprise systems.
  • Prepare technical documentation, model cards, experiment documentation, and deployment guides.
  • Collaborate with software developers, data engineers, and IT teams for production integration.
  • Identify opportunities to improve MLOps processes, model performance, and operational efficiency.
Mandatory Technical Skills
  • 5+ years of applied Machine Learning / AI experience
  • Strong Python programming
  • scikit-learn
  • Tensor Flow or Py Torch
  • SQL and data processing
  • ML/DL model development and evaluation
  • Data pipelines and data quality
  • MLOps
  • CI/CD
  • Model deployment and monitoring
  • Model/data drift monitoring
  • REST APIs
  • Cloud ML / ML infrastructure experience
Preferred
  • Master's degree in AI, Computer Science, Data Science, or related field.
  • Cloud ML certification.
  • Experience with document processing, NLP, computer vision, anomaly detection, or intelligent automation.
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