Senior ML Engineer (Remote) - MLOps Architect

dHired.com

Dubai Emirate

On-site

AED 300,000 - 550,000

Full time

14 days+

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Job summary

dHired.com is seeking a Senior Machine Learning Engineer to join a product-driven team. The role emphasizes MLOps, ML framework deployment, and scalable ML architecture, with remote work options.

The ideal candidate has 3+ years of hands-on ML and data engineering experience, strong Python/SQL skills, and familiarity with TensorFlow or Keras. Excellent documentation and English proficiency are required.

Qualifications

  • A degree in Computer Science (technical or economics degree) is required.
  • 3+ years of experience with MLOps (DVC, MLflow, Airflow, Flask, Docker, Git).
  • Strong Machine Learning and Data Analysis skills.
  • Experience with ML frameworks (TensorFlow/Keras).
  • Strong Python and SQL.
  • Experience with ETL and visualization tools.
  • Good understanding of DWH & Data Lakes architecture.
  • Good documentation skills.
  • Intermediate English level or higher.

Responsibilities

  • Business optimization project work and coordination of data scientists;
  • Deployment and maintenance of ML framework/platforms (DVC and MLflow);
  • Design and optimization of ML architecture and balancing of model computing;
  • Coordination and maintenance of the ML architecture documentation process;
  • Health monitoring of ML infrastructure, quality, and performance of ML models;
  • Development, automation, monitoring, and optimization of ML pipelines.

Skills

Python
SQL
Machine Learning
Data Analysis
TensorFlow
Keras
DVC
MLflow
Airflow
Docker

Education

Degree in Computer Science (technical or economics degree)

Tools

DVC
MLflow
Airflow
Docker
Git

Job description

dHired.com is seeking a Senior Machine Learning Engineer to join a product-driven team. The role emphasizes MLOps, ML framework deployment, and scalable ML architecture, with remote work options.

The ideal candidate has 3+ years of hands-on ML and data engineering experience, strong Python/SQL skills, and familiarity with TensorFlow or Keras. Excellent documentation and English proficiency are required.

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