143
Location: Saudi Arabia
Start Date: ASAP
Sector: IT
Context:
Build and manage data pipelines and AI models to optimize smart city operations through real-time analytics and intelligent automation.
Key Responsibilities
- Data Engineering
- Develop data ingestion pipelines (Kafka, NiFi)
- Build ETL workflows (Airflow, dbt)
- Big Data Processing
- Process large datasets using Spark and Hadoop
- Support batch and distributed computing
- AI / Machine Learning
- Develop models for traffic prediction and anomaly detection
- Implement computer vision for video analytics (traffic, safety)
- Real-Time Streaming
- Implement streaming pipelines using Spark Streaming and Flink
- MLOps & Deployment
- Deploy models using MLflow and Kubeflow
- Manage model lifecycle and monitoring
Tech Stack
- Languages: Python (Pandas, TensorFlow, PyTorch)
- Data: PostgreSQL, NoSQL
- Big Data: Kafka, Spark, Hadoop, Flink
- Cloud AI: AWS SageMaker, Azure ML
Profile
- 3–10 years experience
- Background in Data Engineering, AI, or Software Engineering
- Strong expertise in data pipelines, ML, and real-time systems