ML Engineer

Role Overview

Location and Work Arrangement

• Hybrid role combining onsite and remote work in Abu Dhabi or Dubai, UAE.
• The opportunity is open to freelancers and independent contractors who can support the hybrid UAE arrangement.

Key Responsibilities

• Design, develop, and deploy scalable machine learning models and AI solutions.
• Build end-to-end pipelines covering data ingestion, training, testing, and deployment.
• Collaborate with data scientists, data engineers, and business stakeholders.
• Implement MLOps practices for deployment, monitoring, and maintenance.
• Develop production APIs and services for machine learning applications.
• Troubleshoot model performance and deployment issues.

Required Qualifications

• 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.
• Experience deploying machine learning models in production environments.
• Strong software engineering, problem-solving, communication, and independent working abilities.

Required Technical Skills

• Strong Python and machine learning framework proficiency.
• Experience with SQL, data processing, Docker, Kubernetes, CI/CD, and MLOps.
• Familiarity with AWS, Azure, or Google Cloud Platform.

Preferred Qualifications

• Experience with large language models, Generative AI, Databricks, Spark, or other big data technologies.
• Knowledge of model monitoring, governance, and Responsible AI practices.
• Experience in enterprise-scale environments or projects delivered in the UAE or GCC region.