AI & Data Scientist

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

Data Science & AI Engineer

Experience: 5+ years in Data Science, Machine Learning, AI, or related fields

Job Summary

We are looking for an experienced Data Science & AI Engineer with strong expertise in Forecasting, Predictive Analytics, Machine Learning, Generative AI, and Data Engineering. The candidate will be responsible for developing scalable AI/ML solutions and taking models from data ingestion through deployment and production monitoring.

Key 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 business problems into AI-driven solutions.

Key Skills

• Python, SQL, PySpark, Databricks
• Azure, Azure Machine Learning, MLflow
• Machine Learning, Deep Learning & Statistical Modelling
• 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 a related field.