ML Engineer
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Key skills for this role
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.
Key Skills for This Role
Full Job Posting
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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