Machine Learning Engineer
Skills
About This Role
Overview
Machine Learning Engineer – Industrial AI / IoT
📍 Dubai, UAE
We are hiring a Machine Learning Engineer with experience across Data Science, Applied ML and industrial/IoT datasets to join a growing technology environment focused on telemetry, operational systems and predictive analytics.
This role is ideal for candidates who transitioned from Data Science or Analytics into ML Engineering and enjoy working on real-world industrial problems rather than NLP/LLM products.
Responsibilities
- Build and deploy ML models using industrial and IoT datasets.
- Develop predictive maintenance, anomaly detection and forecasting solutions.
- Work with telemetry, sensor, geospatial and time-series data.
- Support ML pipelines, model monitoring and optimisation.
- Collaborate with engineering and product teams on operational AI use cases.
Requirements
- 3–7 years of experience in Data Science / Machine Learning.
- Strong Python skills
- Experience with PyTorch, TensorFlow or Scikit-learn.
- Experience with industrial, telemetry, IoT or operational datasets.
- Strong understanding of predictive modelling and anomaly detection.
- SQL and data pipeline experience.
- Nice to Have
- Kafka or streaming data
- GIS / geospatial analytics
- Edge AI or Computer Vision
- MLOps or cloud exposure
- Preferred backgrounds include Industrial IoT, logistics tech, mining tech, manufacturing, fleet management, utilities or predictive maintenance platforms.
- Apply now or message directly for a confidential discussion.
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