Senior AI / ML Data Scientist

edari; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading semi-government organization in Dubai seeks a Senior AI / ML Data Scientist to design, develop, and deploy AI models that deliver measurable business impact. Candidates should have a Bachelor's degree in a relevant field and demonstrate proven experience in applying AI solutions effectively. Strong skills in Machine Learning, Deep Learning, and MLOps practices are essential. This is a full-time position with a contract duration of 15 months, renewable.

Qualifications

• Proven experience applying AI / ML solutions in real-world domains.
• Expertise in deep learning and statistical methods, with hands-on model development and production deployment.
• Familiarity with responsible AI principles and their application in regulated industries.

Responsibilities

• Design, train, validate, and deploy advanced ML/DL models.
• Optimize models for accuracy, scalability, and latency.
• Implement MLOps practices and monitor model reliability.

Skills

Machine Learning

Deep Learning

Python

Statistical Analysis

Data Engineering

MLOps

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science

Tools

Apache Spark

SQL

Python

Kafka

dbt

Job description

Overview

We are currently seeking a Senior AI / ML Data Scientist who will be responsible for designing, developing, and productionizing AI / ML models that deliver measurable business impact. The ideal candidate will own the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and post-launch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.

Our client based in Dubai, is one of the largest semi-government organisations in the region. This position is a contract role with an initial duration of 15 months and is renewable.

Key Responsibilities

• Design, train, validate, and deploy advanced ML / DL models (NLP, CV, transformers, statistical learning).
• Optimize models for accuracy, scalability, and latency to ensure production readiness.
• Apply responsible AI principles, including fairness, bias detection, and explainability.
• Build and manage pipelines, feature stores, and ingestion frameworks (real-time and batch).
• Implement MLOps practices: CI / CD workflows, registries, automated retraining, and observability.
• Monitor and resolve issues related to data drift, leakage, and model reliability.
• Ensure compliance with GDPR, ISO standards, ICAO digital / AI frameworks, and organizational policies.
• Promote transparency of AI-driven KPIs and processes across the enterprise.
• Conduct fairness audits, model explainability, and ethical risk assessments.
• Translate complex, ambiguous business challenges into AI / ML opportunities.
• Define scope, feasibility, and expected value of AI initiatives.
• Advise stakeholders on risks, trade-offs, and adoption strategies.
• Deliver insights, dashboards, and validation reports to senior management and cross-functional teams.
• Influence adoption of AI solutions using expert authority and evidence-based recommendations.
• Act as a subject matter expert, supporting enterprise-wide AI strategy and operational decisions.
• Professional certification in Machine Learning (preferred).
• Bachelor\'s degree in Computer Science, Mathematics, Statistics, Data Science, or related
• Proven experience applying AI / ML solutions in real-world domains.
• Strong track record in translating business challenges into AI / ML opportunities with measurable business impact.
• Expertise in deep learning and statistical methods, with hands-on model development and production deployment.
• Familiarity with responsible AI principles and their application in regulated industries.
• Programming & Data Science : Python, R, SQL, StreamLit
• Data Engineering : Apache Spark, Kafka, dbt
• Responsible AI Tools : AI Governance Platform (e.g. Atlan)

Qualifications

• Bachelor\'s degree in Computer Science, Mathematics, Statistics, Data Science, or related
• Proven experience applying AI / ML solutions in real-world domains.
• Strong track record in translating business challenges into AI / ML opportunities with measurable business impact.
• Expertise in deep learning and statistical methods, with hands-on model development and production deployment.
• Familiarity with responsible AI principles and their application in regulated industries.
• Programming & Data Science : Python, R, SQL, StreamLit
• Data Engineering : Apache Spark, Kafka, dbt
• Responsible AI Tools : AI Governance Platform (e.g. Atlan)

Employment type

Full-time

Location

Dubai, United Arab Emirates