Senior Data Scientist - Production ML & AI on Azure (MLOps)

Dicetek LLC; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Dicetek LLC in Dubai seeks a seasoned Data Scientist to design, develop, and deploy ML models and analytics solutions using Python, Dataiku, and Azure Databricks. The role focuses on turning data into actionable insights and operationalizing AI to deliver measurable business value.

You will work on regression, classification, forecasting, NLP, and generative AI projects, with production practices including MLflow, model serving, and MLOps.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).
• 5+ years of hands-on experience in Data Science, Machine Learning, Predictive Analytics, and AI solution development.

Responsibilities

• Design, develop, and deploy machine learning models and analytics solutions using Python, Dataiku, and Azure Databricks.
• Operationalize AI solutions and deliver measurable business value through scalable and production-ready data science solutions.
• Transform data into actionable insights to inform business decisions and strategy.
• Develop and deploy regression, classification, clustering, forecasting, recommendation, and segmentation models; apply NLP and Generative AI as needed.

Skills

Python

Dataiku

Azure Databricks

PySpark

MLflow

SQL

ML

NLP

Generative AI

MLOps

CI/CD

Model Serving

Model Governance

Education

Bachelor's degree (CS/IS/DS/Statistics/Math/Engineering)

Master's degree preferred

Tools

Dataiku

Azure Databricks

PySpark

Job description

Dicetek LLC in Dubai seeks a seasoned Data Scientist to design, develop, and deploy ML models and analytics solutions using Python, Dataiku, and Azure Databricks. The role focuses on turning data into actionable insights and operationalizing AI to deliver measurable business value.

You will work on regression, classification, forecasting, NLP, and generative AI projects, with production practices including MLflow, model serving, and MLOps.