Senior AI & Data Scientist: Forecasting & GenAI MLOps

Dicetek LLC; Abu Dhabi; On-site; AED 250,000 - 450,000; Full time

Job summary

Dicetek LLC in the United Arab Emirates is seeking an experienced Data Science & AI Engineer to develop scalable AI/ML solutions from data ingestion through deployment and monitoring. Strong expertise in forecasting, predictive analytics, ML, Generative AI, and data engineering is essential.

You will build time-series models, deploy models with MLOps practices, and collaborate with business and technology teams to translate complex problems into AI-driven outcomes.

Qualifications

• 5+ years in Data Science, ML, AI or related fields.
• Strong expertise in forecasting, predictive analytics, ML, Generative AI and data engineering.
• Experience with deploying and monitoring models in production using MLOps.

Responsibilities

• Develop and deploy ML, predictive analytics, forecasting, and Generative AI solutions.
• Build scalable data pipelines and perform data preparation, feature engineering, and statistical analysis.
• Develop time-series forecasting, demand prediction, customer behaviour, and predictive maintenance models.
• Implement LLM-based solutions using models such as GPT, Claude, Gemini, Llama, and Mistral.
• Deploy, monitor and optimise models using MLOps best practices.
• Collaborate with business and technology teams to translate problems into AI-driven solutions.

Skills

Python

SQL

PySpark

Databricks

Azure

Azure ML

MLflow

Machine Learning

Deep Learning

Time-Series Forecasting

Predictive Analytics

Generative AI / LLMs

Data Engineering

MLOps

Model Deployment

Monitoring & Optimisation

Education

Bachelor’s/Master’s degree in Data Science, Computer Science, Engineering, Statistics, or related field

Tools

Databricks

Azure ML

MLflow

Job description

Dicetek LLC in the United Arab Emirates is seeking an experienced Data Science & AI Engineer to develop scalable AI/ML solutions from data ingestion through deployment and monitoring. Strong expertise in forecasting, predictive analytics, ML, Generative AI, and data engineering is essential.

You will build time-series models, deploy models with MLOps practices, and collaborate with business and technology teams to translate complex problems into AI-driven outcomes.