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Home › Jobs › Machine Learning › Machine Learning Engineer 1 - UAE National
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Machine Learning Engineer 1 - UAE National

noon
Dubai
Experience2 years
Salary Not disclosed
LocationDubai
Job TypeFull time
Skills: Machine Learning Python TensorFlow PyTorch
Job Description
Job Title: Machine Learning Engineer 1 - UAE National Company: noon Job Category: Machine Learning Roles & Responsibilities: Team noon has some of the fastest, smartest, and hardest\-working people we've encountered. As a Machine Learning Engineer (MLE1\), Ads, you will be a core individual contributor responsible for the hands\-on design, development, and deployment of production\-grade Machine Learning models across our Ads division. You will be responsible for delivering high\-impact models and deployments that power critical functions like ranking, bidding, and click\-fraud detection. This role is deeply technical; you will partner with Product and Engineering teams across noon Ads to turn complex data into competitive advantages * Deeply engage in the technical work: building, training, and deploying production\-grade models across our domains * Contribute to solving "hard" problems involving relevance, ranking, bidding optimization, and fraud detection * Partner with the broader engineering team to implement optimal deployment strategies for heavy ML workloads * Adhere to and contribute to the standardization of ML Ops and best practices within the team Work Location: Dubai, United Arab Emirates Availability: Full time
Requirements
* Experience : hands\-on experience or relevant internships in Machine Learning or data science is preferred * Foundational Knowledge : Strong academic or practical grounding in core machine learning concepts, statistics, and data structures * Coding \& Frameworks : Proficiency in Python and familiarity with standard ML libraries (e.g., PyTorch, TensorFlow, Scikit\-learn) and SQL * Growth \& Collaboration : Eagerness to learn from senior engineers, collaborate across product and engineering teams, and rapidly ramp up on MLOps best practices * Tech Stack : Basic exposure to cloud platforms (like GCP) and data processing pipelines. Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed
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