Analyst - Data & AI (UAE National)

Consultz; Abu Dhabi; On-site; AED 150,000 - 200,000; Full time

Job summary

A technology consulting firm in Abu Dhabi is seeking an AI & ML Analyst to develop and deploy machine learning models and generative AI solutions. The ideal candidate has a strong foundation in machine learning and cloud technologies, along with 2-4 years of relevant experience. This role offers opportunities to collaborate with senior team members in a hands-on environment.

Qualifications

• 2-4 years of hands-on experience in machine learning or data science projects.
• Exposure to cloud environments, ideally Microsoft Azure.
• Familiarity with ML workflows and version control.

Responsibilities

• Assist in building and validating machine learning models.
• Collaborate with data engineers for data ingestion.
• Monitor deployed ML models for accuracy and performance.

Skills

Proficiency in Python

Experience with scikit-learn

Experience with TensorFlow

Strong analytical skills

Education

Bachelor's or Master's in Computer Science, Data Science or related

Tools

Azure Machine Learning Studio

Databricks

Job description

We are seeking a motivated and technically sound AI & ML Analyst to support the development and deployment of machine learning models and generative AI solutions. In this role, you will work closely with senior team members to help solve real-world business problems using AI technologies and ensure smooth integration into existing systems.

This is an excellent opportunity for someone with a strong foundation in machine learning, data processing, and cloud platforms to grow in a hands-on collaborative environment.

Key Responsibilities:

• Assist in building and validating machine learning models and generative AI solutions for business use cases.
• Support the creation and maintenance of scalable ML pipelines including data preparation, feature engineering, training, and evaluation.
• Collaborate with senior data scientists and engineers to fine-tune models for performance and reliability in production environments.
• Help integrate ML models into applications through APIs and system interfaces.
• Monitor deployed models for accuracy, performance, and data quality; escalate issues as needed.
• Contribute to ongoing research and benchmarking of AI tools and models to improve current solutions.
• Work with data engineers to ensure high-quality data ingestion and transformation pipelines.
• Learn and apply version control and CI/CD practices in the ML lifecycle using tools like Git and Azure DevOps.
• Use Azure services (e.g., Azure Machine Learning Studio, Databricks) to assist with model development, testing, and deployment.
• Follow best practices in documentation, code quality, and reproducibility in AI/ML projects.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 2-4 years of hands-on experience in machine learning or data science projects.
• Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).
• Exposure to cloud environments, ideally Microsoft Azure or similar platforms.
• Familiarity with ML workflows, version control, and basic DevOps practices.
• Strong analytical and problem-solving skills.
• Willingness to learn and collaborate across teams.