Remote AI/ML Engineer (Part-Time, Mid-Level to Senior)

Careers; Dubai; Remote; AED 202,000 - 455,000; Part time

Job summary

Careers is seeking an AI / Machine Learning Engineer for a part-time, fully remote role in the UAE. You will design, develop, and optimize ML solutions, building data pipelines and evaluating models for business use cases.

The ideal candidate has 3+ years of AI/ML experience, strong Python skills, and experience with ML libraries. Remote work, cross-functional collaboration, and responsible AI practices are emphasized.

Qualifications

• At least 3 years of relevant AI/ML experience.
• Bachelor's degree in CS/DS/Engineering or related field.
• Proficiency in Python with ML libraries (NumPy, pandas, scikit-learn, TF or PyTorch).
• Experience with datasets, experimentation, and model evaluation.
• Familiarity with SQL, APIs, Git, and software development practices.

Responsibilities

• Design, develop, and evaluate ML models for business use cases.
• Collect, clean, preprocess, and analyze structured and unstructured data.
• Develop data pipelines and feature engineering processes.
• Apply statistical methods and ML algorithms to real-world problems.
• Conduct experiments, tune model parameters, and compare approaches.
• Build and integrate AI models into apps, services, and platforms.
• Collaborate with software engineers, data analysts, and stakeholders.
• Evaluate model accuracy, reliability, and bias.

Skills

Python programming

Data analysis

Experimentation

Problem solving

Communication

Education

Bachelor's degree in CS/DS/Engineering

Tools

NumPy

pandas

scikit-learn

TensorFlow

PyTorch

Job description

Careers is seeking an AI / Machine Learning Engineer for a part-time, fully remote role in the UAE. You will design, develop, and optimize ML solutions, building data pipelines and evaluating models for business use cases.

The ideal candidate has 3+ years of AI/ML experience, strong Python skills, and experience with ML libraries. Remote work, cross-functional collaboration, and responsible AI practices are emphasized.