Experienced BIM Developer - Dubai [AE]
18 July 2026
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BIM Developer
Job Description
The company is seeking a Data Intelligence Machine Learning Engineer to join their innovative team in Dubai. This role focuses on automating data labelling pipelines, reducing the need for manual annotation through techniques like Active Learning and Weak Supervision. You'll be instrumental in transforming raw data into high-quality, model-ready datasets.
You will architect and deploy end-to-end automated labelling systems, develop "Human-in-the-Loop" workflows, and implement quality assurance measures to refine data. Collaboration with software engineers to integrate these tools with existing data infrastructure and MLOps pipelines will be key. The role also involves data visualization and analysis to derive actionable insights.
The ideal candidate has at least 3 years of experience in Machine Learning engineering, with a focus on data-centric AI or computer vision/NLP pipelines. Proficiency in Python and ML libraries like PyTorch or TensorFlow is essential, as is proven experience with automated labelling strategies and data engineering. Familiarity with cloud labelling services and data version control tools is also required.
If you're passionate about building intelligent data solutions, this is your chance to make a significant impact.
You will architect and deploy end-to-end automated labelling systems, develop "Human-in-the-Loop" workflows, and implement quality assurance measures to refine data. Collaboration with software engineers to integrate these tools with existing data infrastructure and MLOps pipelines will be key. The role also involves data visualization and analysis to derive actionable insights.
The ideal candidate has at least 3 years of experience in Machine Learning engineering, with a focus on data-centric AI or computer vision/NLP pipelines. Proficiency in Python and ML libraries like PyTorch or TensorFlow is essential, as is proven experience with automated labelling strategies and data engineering. Familiarity with cloud labelling services and data version control tools is also required.
If you're passionate about building intelligent data solutions, this is your chance to make a significant impact.
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