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Machine Learning Engineer

Machine Learning Engineer

Vistas Global
5-7 Years
  • Posted 10 hours ago
  • Be among the first 10 applicants

Job Description

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

TensorFlow or PyTorch

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.

More Info

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Key Skills

ML infrastructure

model data drift monitoring

data pipelines

scikit-learn

model deployment

ML DL model development and evaluation

CI CD

Cloud ML

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