Analyst & Data & AI

Consultz; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading tech consulting firm is seeking a Machine Learning Engineer to assist in building and validating machine learning models and generative AI solutions. You will collaborate with senior data scientists, support scalable ML pipelines, and integrate models into applications. This role requires proficiency in Python and ML libraries, along with a Bachelor's or Master's degree and 2–4 years of relevant experience. Offering competitive compensation and an opportunity to work with cloud services in Abu Dhabi.

Qualifications

• Minimum of 2–4 years of hands‑on experience in machine learning or data science projects.
• Strong analytical and problem‑solving skills.
• Willingness to learn and collaborate across teams.

Responsibilities

• Assist in building and validating machine learning models and generative AI solutions.
• Support the creation and maintenance of scalable ML pipelines.
• Collaborate with senior data scientists and engineers to fine‑tune models.
• Help integrate ML models into applications through APIs.
• Monitor deployed models for accuracy and performance.

Skills

Python

scikit-learn

pandas

TensorFlow

PyTorch

Azure Machine Learning Studio

Databricks

Data ingestion

Feature engineering

CI/CD practices

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering

Job description

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; elevate 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. Minimum of 2–4 years of hands‑on experience in machine learning or data science projects.

Proficiency in Python and common ML libraries (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.