AI Operations Engineer - Generative AI & Technical Proof-of-Concepts

Join Cambridge University Press & Assessment as an AI Operations Engineer and play a pivotal role in shaping the future of education and publishing through cutting-edge Generative AI technologies. Based in the vibrant hub of Bali, Indonesia, you will work closely with our team of experts to develop and deploy innovative solutions that enhance learning experiences and streamline our publishing processes.

In this role, you will be responsible for designing, implementing, and optimizing AI-driven systems that leverage Generative AI to create technical proof-of-concepts. You will work with a variety of tools and platforms, including TensorFlow, PyTorch, and AWS, to build and deploy scalable AI solutions. This is an exciting opportunity to be part of a dynamic team that is at the forefront of technological innovation in the education and publishing industries.

If you are passionate about AI and Generative AI, and have a strong background in software engineering and data science, we invite you to join us in Canggu, Bali and help us transform the way people learn and publish.

📋 Tanggung Jawab Pekerjaan

• Design and implement AI-driven systems using Generative AI technologies
• Develop and deploy technical proof-of-concepts for new AI solutions
• Optimize and maintain existing AI systems to ensure high performance and reliability
• Collaborate with cross-functional teams to integrate AI solutions into our products and services
• Work with data scientists and machine learning engineers to develop and deploy AI models
• Monitor and analyze AI system performance to identify areas for improvement
• Stay up-to-date with the latest advancements in AI and Generative AI technologies
• Provide technical guidance and support to other team members

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• 3-5 years of experience in AI operations engineering or a similar role
• Proficient in programming languages such as Python, Java, or C++
• Experience with AI frameworks and libraries, including TensorFlow, PyTorch, and Keras
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
• Strong understanding of data science principles and machine learning algorithms
• Excellent problem-solving and analytical skills
• Ability to work in a fast-paced, collaborative environment

🛠️ Keahlian

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