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ML Engineer

SCC Middle East
Abu Dhabi, UAE
Contract
Mid-Senior
Hybrid
Discovered 1 weeks ago
Machine learning engineeringArtificial intelligence developmentPythonTensorFlowPyTorchScikit-learn
Free

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Machine learning engineeringArtificial intelligence developmentPython
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Role Overview

SCC Middle East is seeking an experienced Machine Learning Engineer for an initial six-month freelance contract with potential extension.

The role designs, develops, deploys, and maintains machine learning solutions supporting business initiatives.

Location and Work Arrangement

  • The role is hybrid and may be based in Abu Dhabi, Dubai, or Fujairah, UAE.
  • The arrangement combines onsite and remote work and requires availability for hybrid working in the UAE.

Contract Details

  • The initial contract duration is six months, with possible extension subject to project requirements and performance.
  • The opportunity is open to freelancers and independent contractors only.

Key Responsibilities

  • Design, develop, and deploy scalable machine learning models and AI solutions.
  • Build and maintain end-to-end pipelines for data ingestion, training, testing, and deployment.
  • Collaborate with data scientists, data engineers, and business stakeholders on production-ready solutions.
  • Optimize models for performance, scalability, and reliability.
  • Implement MLOps practices for deployment, monitoring, and maintenance.
  • Work with large datasets, develop production APIs and services, and ensure data quality and model accuracy.
  • Troubleshoot model performance and deployment issues and stay current with emerging AI technologies.

Required Skills and Experience

  • Bachelor’s or Master’s degree in computer science, artificial intelligence, data science, engineering, or a related field.
  • At least four years of experience in machine learning engineering, AI development, or related roles.
  • Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Experience deploying machine learning models in production and building end-to-end pipelines.
  • Strong software engineering knowledge, plus experience with SQL and data processing technologies.
  • Familiarity with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker, Kubernetes, containerized deployments, CI/CD, and MLOps methodologies.
  • Excellent problem-solving and communication skills and the ability to work independently in freelance consulting.

Preferred Qualifications

  • Experience with Large Language Models and Generative AI solutions.
  • Experience with Databricks, Spark, or other big data technologies.
  • Knowledge of model monitoring, governance, and Responsible AI practices.
  • Experience in enterprise-scale environments or delivering projects in the UAE or GCC region.

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