AI Data Scientist

Caliberly; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading company in the UAE is seeking an innovative AI Data Scientist to join their dynamic team. This role involves designing and deploying machine learning models to solve real-world problems, utilized through structured and unstructured data. The ideal candidate will have an advanced degree and strong experience in AI technologies, alongside excellent analytical and communication skills. The position offers competitive compensation, comprehensive benefits, and a thriving work culture that encourages professional growth.

Benefits

Competitive Compensation

Comprehensive Benefits including accommodation and meal allowances

Work-Life Balance with generous holiday and bonuses

Top-Tier Equipment like a MacBook and iPhone

Employee Support for home visits reimbursement

Qualifications

• Strong experience with machine learning frameworks is required.
• Proficiency in SQL and data querying is necessary.
• Solid understanding of statistics, probability, and optimization techniques.

Responsibilities

• Design, develop, and implement advanced machine learning models.
• Analyze large datasets to extract actionable insights.
• Collaborate with data engineers to integrate AI models into production.

Skills

Machine Learning

Data Analysis

Programming (Python, R, Java)

Data Visualization

Statistical Analysis

Education

Masters or Ph.D. in Computer Science, Data Science, Machine Learning, Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

SQL

Job description

Job Summary:

We are seeking an innovative and analytical AI Data Scientist to join our team. The ideal candidate will design, build, and deploy machine learning and deep learning models to solve real-world problems using structured and unstructured data. Youll work closely with cross-functional teams to deliver intelligent systems that drive value and enhance decision-making.

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and AI algorithms for business problems (e.g., NLP, computer vision, recommendation systems).
• Analyze large, complex datasets to extract actionable insights.
• Collaborate with data engineers and software developers to integrate AI models into production.
• Perform exploratory data analysis, feature engineering, and data cleaning.
• Continuously monitor and improve model performance.
• Communicate results and technical concepts to non-technical stakeholders.
• Stay up to date with the latest research and advancements in AI and ML.

Qualifications:

Required:

• Masters or Ph.D. in Computer Science, Data Science, Machine Learning, Mathematics, or related field.
• Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in programming languages such as Python, R, or Java.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
• Proficiency in SQL and data querying.
• Solid understanding of statistics, probability, and optimization techniques.

Preferred:

• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with big data tools (e.g., Spark, Hadoop).
• Publications in peer-reviewed conferences or journals.
• Experience deploying models using MLOps practices and tools like Docker, Kubernetes, or MLflow.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work both independently and in a team.
• Eagerness to learn and stay on top of AI/ML trends.

What we offer:

Competitive Compensation: Enjoy a salary package tailored to your skills and

experience, along with performance-based bonuses.

Comprehensive Benefits: We support your well-being with accommodation, meal

allowances, and assistance with work visa processing.

Work-Life Balance: Unwind with generous holiday and New Year bonuses.

Top-Tier Equipment: Stay productive with the latest tools, including a MacBook and

iPhone.

Thriving Culture: Immerse yourself in a dynamic, inclusive work environment that

fosters growth.

Employee Support: Enjoy twice-yearly expense reimbursements for home visits.