Title: Data Scientist ML

Location: Dubai - Onsite

Job Type: 12+ Months

Job Description:

• 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 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.

D: Minimum Qualifications / Experience

Qualifications:

Bachelor’s Degree

Computer Science, Data Science, or related.

Professional/Regulatory/Certification Requirements:

Professional certification in Machine Learning (preferred).

Overall Experience (Years): 7+ Years

Relevant Experience (Years): 3-5 Years

Industry Experience:

• Aviation, Transportation, Enterprise Operations or related.

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.

Skills, Tools, and Systems Experience:

• 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 Platform (e.g. Atlan)