We are currently seeking a SeniorAI/ML Data Scientist who will be responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact for 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.

The ideal candidate will own the full lifecycle from framing business problems and shaping datasets to model training, deployment with ML Ops 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.

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.

Knowledge & Experience:

Professional certification in Machine Learning (preferred).
Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, or related
5-7 years of experience in 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

Technical Skills:

Programming & Data Science: Python, R, SQL, Streamlit
ML & AI Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face
MLOps & Deployment: Docker, Kubernetes, Git CI/CD
Data Engineering: Apache Spark, Kafka, dbt
Cloud Platforms: Azure ML
Visualization: Power BI, Tableau
Responsible AI Tools: AI governance platforms such as Atlan

Availability:

Preference will be given to candidates available immediately upon accepting the offer.

We are looking for a candidate who will be able to work in United Arab Emirates. Please apply with your resume and remember to provide us with your contact details.

We will review your job application within 7 working days. Should your profile fit the requirements of the role a consultant from Edari will be in touch with you to get a deeper understanding of your profile, to discuss the role in more detail and potential next steps.

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