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Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Build and maintain data pipelines, lakehouse/warehouse structures, and semantic models on Microsoft Fabric to ingest and transform data from ERP systems, APIs, and IoT platforms for reporting and analytics.
Senior Data Engineer/ML Engineer designs, deploys, and maintains scalable ML models and MLOps pipelines for enterprise clients, using Python, SQL, Spark, and AWS.
Build and deploy production AI systems: LLM APIs wrapped in FastAPI, prompt engineering, structured JSON outputs, and observability for classification and agent workflows.
Design and deploy AI/ML and GenAI solutions to solve business problems, build predictive models, and create scalable data pipelines for a Dubai-based digital advertising agency.
Build predictive models, forecasting solutions, and scalable AI workflows using Python, SQL, and ML platforms; prototype Generative AI use cases and collaborate with business teams.
We are looking for an experienced Senior Data Engineer with strong expertise in PySpark, Python, and Cloudera Data Platform (CDP) to join a high-performing Data Engineering team supporting enterprise-scale Digital…
Build, deploy, and monitor ML/AI models and GenAI systems using Python, TensorFlow, PyTorch, and MLOps tooling like MLflow and Kubernetes.
Lead the design and deployment of advanced AI models, including LLMs and multimodal systems, using deep learning and statistical methods to solve complex business and research challenges.
Build and deploy production-grade ML systems, including LLMs and GenAI, from experimentation to live inference while integrating with core product features.
Design and deploy AI models in Python/TensorFlow/PyTorch to solve business problems, then integrate them into production systems and monitor performance.
Design and build large-scale data pipelines and infrastructure for a government client in Abu Dhabi, supporting AI/ML initiatives and public-sector digital transformation.
Design and implement large-scale data pipelines and lakes for AI/ML initiatives in a government digital-transformation project using Azure, AWS, or GCP.
Build and optimize PySpark pipelines for production data ingestion, transformation, and feature engineering in a consulting role.
Build and maintain scalable data pipelines and infrastructure for a high-growth UAE tech firm, ensuring reliability and quality for AI/ML workloads.
Build and maintain scalable data pipelines in Python/SQL, using cloud platforms and streaming tools to feed AI/ML workloads in a high-growth UAE tech business.
Build and optimize large-scale PySpark and Python data pipelines on Cloudera for banking and digital-product analytics, ensuring high-quality, secure data flows that power BI and ML workloads.
Build and maintain Databricks-based pipelines for anomaly detection and KPI monitoring, using Azure, MLflow, and streaming/batch processing to support predictive maintenance in a climate-tech context.
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
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