Senior Data Scientist - Machine Learning
Tap Growth ai
Date: 2 weeks ago
City: Dubai
Contract type: Full time
We're Hiring: Senior Data Scientist - Machine Learning!
The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping data sets 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.
Location: Dubai, United Arab Emirates
Work Mode: Work From Office
Role: Senior Data Scientist - Machine Learning
Experience - 3 to 10 years
Salary - 20000 AED to 22000 AED + Benefits
Core Activities Experience
Proven experience applying AI/ML solutions in real-world domains such as aviation, transportation, or enterprise operations. 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.
The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping data sets 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.
Location: Dubai, United Arab Emirates
Work Mode: Work From Office
Role: Senior Data Scientist - Machine Learning
Experience - 3 to 10 years
Salary - 20000 AED to 22000 AED + Benefits
Core Activities Experience
Proven experience applying AI/ML solutions in real-world domains such as aviation, transportation, or enterprise operations. 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.
- Machine Learning Model Development & Deployment
- Data Engineering & MLOps
- Governance, Compliance & Responsible AI
- Problem Framing & Business Alignment
- Stakeholder Engagement & Decision Support
- Programming & Data Science: Python, R, SQL, Stream Lit
- ML&AI Frameworks: Tensor Flow, PyTorch, Keras, scikit-learn, Hugging Face MLOps &Deployment: Docker, Kubernetes, GitCI /CD
- Data Engineering: Apache Spark, Kafka, dbt
- Cloud Platforms : Azure ML
- Visualization : Power BI, Tableau Responsible AI Tools AI Governance Platform(e.g. Atlan)
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