In addition to technical responsibilities, AI engineers play a strategic role by identifying opportunities for AI applications and driving innovation across processes. With a focus on continuous improvement, AI engineers stay updated on advancements in artificial intelligence, exploring tools like PyTorch, TensorFlow, to enhance scalability and efficiency. This dynamic role is essential for Bunge looking to remain competitive in a rapidly evolving technological landscape. Main Accountabilities Key Responsibilities
Develop and implement AI models. Design machine learning models and algorithms to solve problems and enhance functionality. Collaborate with cross-functional teams to build and deploy AI solutions. Optimize AI systems. Improve the performance of AI models and systems for scalability and real-time applications. Conduct data analysis. Analyze large data sets to identify patterns and insights that inform AI development. Prototyping and testing. Create prototypes to test AI applications and refine machine learning techniques. Stay updated on advancements. Research and implement the latest advancements in AI and machine learning frameworks. Integrate AI solutions. Implement AI into existing software systems to enhance functionality and user experience. Knowledge and Skills Behavior Use knowledge of Bunge s business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles.. Drive results through high standards, focus on key priorities, organization, and preparing others for change. Technical A bachelor s degree in computer science, data science, or a related field; a master s degree is preferred. Work experience. Hands-on experience in AI development, data analysis, and machine learning techniques. Technical skills. Proficiency in programming languages like Python, Java, and TensorFlow; familiarity with PyTorch and Azure. Education & Experience Education. A bachelor s degree in computer science, data science, or a related field; a master s degree is preferred. Work experience. Hands-on experience in AI development, data analysis, and machine learning techniques. Technical skills. Proficiency in programming languages like Python, Java, and TensorFlow; familiarity with PyTorch and Azure. Soft skills. Strong communication skills and problem-solving abilities to work effectively with stakeholders and cross-functional teams. Certifications. Relevant certifications in AI and machine learning enhance a candidate s skill set. Knowledge base. Expertise in neural networks, natural language processing, and predictive models. Data engineering. Experience working with big data, pipelines, and statistical analysis tools.

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