**Company: Rakuten Group, Inc. Job Description Summary: The job description for the Generative AI Product Manager at Rakuten emphasizes the importance of utilizing AI technologies to positively impact society. The ideal candidate should have a strong foundation in product management and experience in managing products that leverage data science and machine learning. Responsibilities include collaborating with technical and business leaders, defining product vision, overseeing the development of AI applications, and monitoring product performance. Mandatory qualifications include 3+ years of product management experience, strong communication skills, proficiency in Agile methodologies, and fluency in both English and Japanese. Desired qualifications include experience in product management of technology or AI-driven products, expertise in leading complex technology programs, and hands-on experience with AI/ML model development. Rakuten’s core mission is to contribute to society through innovation and entrepreneurship, and the company values diversity and equal opportunities for all individuals regardless of age, gender, nationality, or other statuses. Job Description: Job Description: Department Overview Rakuten is a global technology company dedicated to leveraging its membership ecosystem and data to positively impact society. Our AI for Business Department (AI4B) leads this initiative, focusing on developing and deploying innovative solutions that combine the latest Generative AI technologies with established data science and machine learning techniques. These solutions enhance our products and services across our Commerce & Marketing, FinTech, and Mobile business units. We seek talented data scientists, engineers, project managers and product managers passionate about applying their skills to pioneering projects that can make a significant difference and potentially change the world. Position Details The Generative AI Product Manager is tasked with leading the development and deployment of in-house developed Generative AI solutions across Rakuten Group’s various business units. This role requires a blend of AI domain proficiency and business… acumen, ensuring the seamless integration of cutting-edge AI technologies into our product offerings. The ideal candidate will possess a strong foundation in product management, demonstrated by a proven track record of overseeing product lifecycles and successfully bringing innovative technology solutions to market. Experience in managing products that leverage data science, machine learning, and natural language processing is highly valued, although secondary to core product management skills. This role requires a strategic thinker with the ability to navigate the complexities of product development from conception to launch, while also having the technical acuity to understand and harness the potential of AI-driven innovations. We invite product managers who are keen to leverage the latest technologies for solving real-world problems and making societal contributions to seize this exciting opportunity. Responsibilities: Collaborate with technical and business leaders to align the AI for Business Department’s strategic direction with organization-wide Generative AI initiatives. Define product vision, strategy, ensuring alignment with business goals and market needs. Assume or support the product owner role, identify and prioritize high-potential, innovative and impactful Generative AI use cases or application features, in close coordination with business experts, accelerating their development and implementation. Define and oversee the creation of rapid prototypes and proof-of-concepts for Generative AI applications, ensuring they meet business needs. Lead the planning to scale and develop successful Generative AI experiments, prototypes and proof-of-concepts into robust AI solutions. Engage with cross-functional teams to ensure product requirements are fully understood and integrated into the development process. Monitor product performance and user feedback to continuously refine and improve product offerings. Maintain high-quality documentation and thought leadership materials for Generative AI initiatives to engage internal and external stakeholders. Facilitate strategic planning sessions and coaching workshops to foster a culture of continuous improvement and innovation within the team. This includes mentoring team members on best practices in product management and agile methodologies, ensuring the team remains agile and adaptable in the face of evolving market trends and technology advancements. Mandatory Qualifications: 3+ years of experience in product management Strong communication and interpersonal skills, capable of effectively collaborating with both technical and non-technical teams. Proficient in Agile development methodologies and familiar with project management tools like JIRA and Confluence. Fluent in business English and Japanese (native-equivalent Japanese preferred), enabling clear and concise communication across diverse teams. Independent and autonomous work style, capable of navigating complex organizational structures and driving results. Strategic thinker with a problem-solving mindset, demonstrating the ability to lead through innovation and critical analysis. A strong passion for leveraging technology to address real-world challenges and make a meaningful societal impact. Desired Qualifications: Experience in product management of technology or AI-driven products. Proven expertise in leading and successfully executing complex technology programs or products from concept through to launch. Experience in setting strategic direction and uncovering new opportunities for impact within large organizations. Experience in developing or contributing to data science or analytics projects, including prior hands-on experience with AI/ML model development, showcasing a comprehensive understanding of the entire product development lifecycle—from initial planning and analysis through to deployment and optimization of machine learning models. #productmanager #technologyservicediv Languages: English (Overall - 4 - Fluent), Japanese (Overall - 4 - Fluent) In Japanese, Rakuten stands for ‘optimism.’ It means we believe in the future. It’s an understanding that, with the right mind-set, we can make the future better by what we do today. So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone. Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world. If you have any trouble logging in, please contact us here Rakuten Group, Inc.: Please read the Application Requirements(EN) / 募集要項(JP) before applying. Our Diversity & Inclusion Policy and Application Documents Rakuten’s corporate mission is to “contribute to society by creating value through innovation and entrepreneurship.” We foster a culture that provides equal opportunities to those who share this founding philosophy and take on the challenge to transform society, regardless of age, gender, nationality, or any other status. Diversity is one of Rakuten’s core strategies and a driving force for innovation. Because of this, you are not required to submit any of the following information in order to apply for our job positions. - Gender - Age - Photo - Nationality - Information not related to business, such as ideological beliefs, family structure, etc. * For legal compliance, we may ask you about your work eligibility. See the details
Company:Rakuten Group, Inc.
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.