Appealing Points:
- Architect Enterprise-Grade Generative AI Solutions: Design and deploy scalable AI/ML architectures using LLMs, SLMs, RAG, vector databases, fine-tuning, and prompt engineering.
- Work at the Intersection of AI & Telecommunications: Apply advanced AI technologies to telecom, cloud, networking, and autonomous network use cases while contributing to next-generation intelligent systems.
- Drive Responsible AI Innovation: Shape AI governance, security, data privacy, MLOps, model monitoring, and lifecycle management while exploring emerging technologies such as agentic AI and enterprise AI copilots.
Annual salary : 7 Million yen and Above.
Job Qualifications:
- Bachelor’s degree in Computer Science, AI, Machine Learning, Data Science, Telecommunications Engineering, or a related field.
- 7+ years of total industry experience.
- 3+ years of experience in application/software design and architecture with AI/ML, including hands-on Generative AI implementation and model design.
- Strong expertise in LLMs/SLMs, fine-tuning techniques, RAG, vector databases, and prompt engineering.
- Experience designing and deploying scalable AI solutions using Python, cloud platforms, and Kubernetes.
- Solid understanding of AI governance, responsible AI practices, security, and data privacy.
- Basic understanding of Telco networks, Cloud, and networking technologies.
Preferred Qulifications:
- Master’s degree in Computer Science, Data Science, or AI/ML fields.
- 7–15 years of total experience, with at least 3 years in AI/ML design and implementation.
- Experience in telecommunications, mobile network architecture, autonomous networks, and related AI use cases.
- Hands-on expertise with advanced LLM optimization (LoRA, QLoRA, model distillation) and agentic AI frameworks.
- Experience building enterprise AI platforms, AI copilots, or domain-specific language models.
- Strong knowledge of MLOps, AI observability, model monitoring, and lifecycle management tools.
- Proven ability to establish AI governance frameworks and assess third-party AI vendors.
- Relevant certifications (AWS, Azure, GCP, NVIDIA, or equivalent).
- Japanese language skills are an additional advantage.
Language Requirements: Business level Japanese (not mandatory) and Business level English
About Company:
The largest eCommerce company in Japan, and the third-largest eCommerce marketplace company worldwide. The organization provides a variety of consumer and business-focused services including e-commerce, e-reading, travel, banking, securities, credit card, e-money, portal and media, online marketing, and professional sports. The company is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas.
[Measures against passive smoking]
No smoking indoors allowed
Designated smoking area
. Skillset Required: Generative AI, LLMs, SLMs, RAG, Vector Databases, Fine-Tuning, Prompt Engineering, Scalable AI/ML Architecture, AI/ML, Application Design, Software Architecture, Python, Cloud Platforms, Kubernetes, AI Governance, Responsible AI, Security, Data Privacy, MLOps, Model Monitoring, Lifecycle Management, Agentic AI, Enterprise AI Copilots, Telecommunications, Cloud, Networking, Autonomous Networks, Telco Networks, Mobile Network Architecture, AI Use Case Implementation, LLM Optimization, LoRA, QLoRA, Model Distillation, Agentic AI Frameworks, Enterprise AI Platforms, Domain-Specific Language Models, AI Observability, Third-Party AI Vendor Assessment, AWS, Azure, GCP, NVIDIA
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