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AI/ML Expert
2 months ago
Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global.
To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business – from sales to engineering, support functions to product development.
Let’s build the future of mobile telecommunications together
About Rakuten
Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content and communications to approximately 1.5 billion members around the world. The Rakuten Group has over 27,000 employees, and operations in 30 countries and regions. For more information visit Responsibilities:
Solve customer problems by creating solutions using our innovative technology for Machine Learning and Deep Learning including Large Language Models, Computer Vision systems, Recommender systems, and Advanced Generative AI systems.
Strong experience and expertise in Machine Learning for Time Series, Deep Learning, Classical machine learning, clustering, dimensionality reduction and Reinforcement learning. Ability to quickly learn and implement state-of-the-art, and the thought process of generating novel ideas.
Model Development and Deployment: Experience in Designing, developing, and optimizing generative models to generate realistic and diverse outputs. Implementing and fine-tune state-of-the-art generative AI architectures to achieve desired performance metrics. Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows and refine foundation model infrastructure to support the deployment of optimized AI models. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity, streaming, and caching, for model performance enhancements.
Implement strategies for efficient and effective training of LLMs to achieve optimal performance and design and implement RAG-based workflows to enhance content generation and information retrieval.
Research and Development: Stay up to date with the latest advancements in generative AI, including LLMs, GPTs, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other related techniques. Conduct research to identify and develop novel generative models and algorithms.
Qualifications and Skills:
Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
10+ years’ experience demonstrating an established track record in Deep Learning and Machine Learning; experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.
Design, develop, and deploy AI/ML solutions to address complex business challenges.
Collaborate with cross-functional teams to gather, clean, and prepare data for AI/ML applications.
Stay updated on AI/ML advancements, promote best practices, and contribute to technology forums and events.
Experience working and building ML Solutions in Telecommunication Domain.
Strong analytical and problem-solving skills.
Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, as well as Cloud services, Spark and Linux.
Experience working with DevOps and MLOps including but not limited to Docker/Containers, Kubernetes, and Data Center or Cloud AI deployments.
Ability to multitask effectively in a dynamic environment.
Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
Successful candidates will be able to demonstrate a strong desire to share knowledge with clients, partners, and co-workers.
What We look for?
Must have sense of ownership for algorithm/product.
Must be comfortable working with senior and junior level colleagues in various cultures.
Must be highly collaborative.
Must be comfortable working with people in different geographies.
Must be comfortable working in diverse/multi-cultural environment.
RAKUTEN SHUGI PRINCIPLES:
Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
Always improve, always advance. Only be satisfied with complete success - Kaizen.
Be passionately professional. Take an uncompromising approach to your work and be determined to be the best.
Hypothesize - Practice - Validate - Shikumika. Use the Rakuten Cycle to success in unknown territory.
Maximize Customer Satisfaction. The greatest satisfaction for workers in a service industry is to see their customers smile.
Speed Speed Speed Always be conscious of time. Take charge, set clear goals, and engage your team.
