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Machine Learning Engineer: Develops algorithms allowing machines to learn and make decisions.

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Data Scientist: Analyzes complex data to uncover insights and build predictive models.

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AI Research Scientist: Conducts research to innovate AI technologies and algorithms.

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AI Product Manager: Bridges technical teams and business goals to deliver AI products.

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Robotics Engineer: Designs and programs robots with AI capabilities.

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Computer Vision Engineer: Builds systems to interpret visual data like images and video.

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NLP Engineer: Develops systems to understand and process human language.

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AI Ethics Specialist: Ensures AI systems are ethical, fair, and privacy-compliant.

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Business Intelligence Developer with AI Focus: Uses AI to enhance data-driven business decisions.

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AI Hardware Engineer: Designs hardware optimized for AI processing.

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AI Software Engineer: Integrates AI functionalities into software applications.

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Deep Learning Engineer: Specializes in neural networks and advanced machine learning models.

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AI Designer/UX Specialist: Uses AI to improve user experience and design.

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Algorithm Developer: Creates efficient algorithms that power AI solutions.

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AI Data Analyst: Cleans and interprets data for AI applications.