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Scientist jobs in United Arab Emirates

Applied Data Scientist – MLOps

Vinirma Consulting Private Limited

United Arab Emirates
On-site
AED 200,000 - 300,000
Today
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Agentic AI Data Scientist

WomenTech Network

United Arab Emirates
Remote
AED 200,000 - 300,000
Today
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Data Scientist

Etihad Credit Bureau

Abu Dhabi
On-site
AED 200,000 - 300,000
Today
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Data Scientist: Insights & Dashboards (Contract)

Dicetek LLC

Dubai
On-site
AED 200,000 - 300,000
Today
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Data Scientist: Turn Data into Business Wins

Dicetek LLC

Dubai
On-site
AED 200,000 - 300,000
Today
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End-to-End Data Scientist: ML Deployment & Insights

Theoptimum

Abu Dhabi
On-site
AED 80,000 - 120,000
Today
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End-to-End Data Scientist: Insights to Deployment

Theoptimum

Abu Dhabi
On-site
AED 80,000 - 120,000
Today
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Lead Data Scientist: End-to-End ML & Insights

Halian | Managed Services, Recruitment Agency & Contract Staffing

Abu Dhabi Emirate
On-site
AED 150,000 - 200,000
Today
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Data Scientist - End-to-End ML & Insights

Halian | Managed Services, Recruitment Agency & Contract Staffing

Abu Dhabi Emirate
On-site
AED 150,000 - 200,000
Today
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Applied AI/ML Scientist

Cerebras

Abu Dhabi
On-site
AED 120,000 - 200,000
Today
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Senior Data Scientist: ML for Fashion Ecommerce Impact

TALENTMATE

Dubai
On-site
AED 200,000 - 300,000
Today
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Senior Data Scientist — Fashion Ecommerce & ML Impact

TALENTMATE

Dubai
On-site
AED 200,000 - 300,000
Today
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Senior Data Scientist: PoCs, Market Insights & Analytics

Etihad Credit Bureau

Abu Dhabi
On-site
AED 200,000 - 300,000
Today
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Senior Data Scientist: Fashion Ecommerce Growth

Ounass

United Arab Emirates
On-site
AED 200,000 - 300,000
2 days ago
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Senior Data Scientist - Fashion Ecommerce Growth

Ounass

United Arab Emirates
On-site
AED 200,000 - 300,000
2 days ago
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Senior Data Scientist: ML & MLOps on Azure Databricks

Duncan & Ross

Abu Dhabi
On-site
AED 200,000 - 300,000
2 days ago
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Part-Time Computer Research Scientist — Cutting-Edge R&D

Work standard

Ras Al Khaimah
Hybrid
AED 200,000 - 300,000
2 days ago
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Part-Time Computer Research Scientist - Flexible R&D Impact

Work standard

Ras Al Khaimah
Hybrid
AED 200,000 - 300,000
2 days ago
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Senior AI Growth & Retention Lead Scientist

مناطق رأس الخيمة الاقتصادية (راكز)

Ras Al Khaimah
On-site
AED 200,000 - 300,000
2 days ago
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Senior AI Growth & Retention Data Scientist

مناطق رأس الخيمة الاقتصادية (راكز)

Ras Al Khaimah
On-site
AED 200,000 - 300,000
2 days ago
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Director Data Scientist - Analysis

Talabat

Dubai
On-site
AED 400,000 - 500,000
2 days ago
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Senior Materials Scientist Polymers & Coatings for Missiles

EDGE

Abu Dhabi
On-site
AED 293,000 - 441,000
2 days ago
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Experienced Clinical Research Associate Sponsor-dedicated

IQVIA

Dubai
On-site
AED 120,000 - 200,000
Today
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Staff UX Researcher

Beyond ONE

Dubai
Hybrid
AED 293,000 - 368,000
Today
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Global Staff UX Researcher | Lead User Insights

Beyond ONE

Dubai
Hybrid
AED 293,000 - 368,000
Today
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Applied Data Scientist - MLOps
Vinirma Consulting Private Limited
United Arab Emirates
On-site
AED 200,000 - 300,000
Full time
Yesterday
Be an early applicant

Job summary

شركة استشارية رائدة في الإمارات العربية المتحدة تبحث عن عالم بيانات تطبيقي - MLOps. يتطلب الدور 3-4 سنوات من الخبرة، بالإضافة إلى مهارات قوية في لغة بايثون وأدوات التعلم الآلي. كما يتضمن تطوير نظم ذكاء اصطناعي ونشر نماذج في بيئات الإنتاج باستخدام أدوات MLOps. المرشح المثالي سيكون لديه قدرات على بناء واجهات برمجة التطبيقات ويتقن استخدام خدمات Azure.

Qualifications

  • 3-4 سنوات من الخبرة العملية كعالم بيانات أو مهندس ML مركّز على نشر النماذج.
  • خبرة مثبتة في نشر النماذج في بيئات الإنتاج.
  • خبرة عملية مع تدفقات عمل MLOps، بما في ذلك تدريب النماذج والنشر.

Responsibilities

  • تطوير وتصميم حلول علم البيانات باستخدام تقنيات ML التقليدية والحديثة.
  • تحديد مقاييس النجاح القابلة للقياس، بما في ذلك الدقة والسرعة.
  • تنفيذ نشر نماذج ML/AI في الإنتاج باستخدام CI/CD.

Skills

Python (Pandas, NumPy, Scikit‑learn)
TensorFlow
PyTorch
MLflow
Airflow
Docker
Kubernetes
Azure ML
FastAPI
Flask

Education

بكالوريوس في علوم الكمبيوتر أو علوم البيانات أو الهندسة
ماجستير أو شهادات في ML/AI/MLOps
Job description
الوصف الوظيفي

VAM Systems is a Business Consulting, IT Solutions and Services company.

VAM Systems is currently looking for Applied Data Scientist – MLOps for our UAE operations with the following skillsets & terms and conditions:

Qualification
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Master's degree or certifications in ML/AI/MLOps are an advantage.
Experience
  • 3-4 years of hands‑on experience as a Data Scientist or ML Engineer with strong focus on model deployment.
  • Proven experience deploying ML, DL, and GenAI models in production environments.
  • Practical experience working with MLOps workflows, including model training, versioning, deployment, monitoring, and automation.
Skills
  • Strong Python programming skills (Pandas, NumPy, Scikit‑learn).
  • Proficiency in ML frameworks: TensorFlow, PyTorch, MLflow, Hugging Face.
  • Deep understanding of MLOps tooling: MLflow, Airflow, Kubeflow, Docker, Kubernetes, Azure ML.
  • Experience with CI/CD (GitHub Actions, Azure DevOps).
  • Ability to build APIs (FastAPI, Flask) and containerized deployments.
  • Experience with LLMs, RAG pipelines, vector databases (FAISS, Pinecone), and prompt engineering.
Responsibilities
  • Data Science & Analytics: Develop design and develop data science solutions using traditional ML and modern modeling techniques.
  • Perform exploratory data analysis (EDA), feature engineering, and data preprocessing for model development.
  • Define measurable success metrics, including accuracy, precision, recall, throughput, and latency.
Machine Learning Model Development
  • Contribute Build, test, and validate supervised and unsupervised ML models using best practice methodologies.
  • Evaluate multiple algorithms and optimize hyperparameters to improve model robustness.
  • Maintain documentation and ensure model interpretability where applicable.
MLOps- End to End Model Deployment
  • Implement Lead deployment of ML/AI models into production using CI/CD, automation, and containerized workflows.
  • Develop reproducible ML pipelines for training, testing, serving, and monitoring.
  • Implement scalable APIs and microservices for model inference.
  • Set up real time and batch inference systems ensuring reliability and uptime.
  • Detect and respond to model drift, data drift, and performance degradation.
Generative AI / LLMs Deployment
  • Deploy LLM‑powered applications, including prompt based models, fine tuned models, and RAG systems.
  • Build scalable back end infrastructure for hosting LLMs using Azure OpenAI, Hugging Face, or equivalent platforms.
  • Evaluate LLM outputs for accuracy, safety, and consistency, enforcing enterprise guidelines.
Microsoft Automation & Engineering
  • Develop automation scripts (Python/CLI) to optimize data pipelines, monitoring, alerts, and deployment workflows.
  • Work with APIs, microservices, and event driven architectures to support ML deployments.
Terms and conditions
  • Joining time frame: (15 - 30 days)
  • The selected candidates shall join VAM Systems - UAE and shall be deputed to one of the leading organizations in UAE.
Skills Required
  • Data Science - ML, Pandas, Numpy, Tensorflow, MLops, Llm, Api, Azure
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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