Lead Machine Learning Expert | Japan Jobs | Fidel Consulting KK

Lead Machine Learning Expert

Job Id : 9502
Posted : 2025-08-19
Industry : Telecommunications
Employment Type : Full Time, Permanent
Required Skills : Japanese JLPT N3, English 2, design, Data Scientists , AI Engineers, LLaMA, Falcon, Architect , machine learning, Python , PyTorch
City : Tokyo
State : Tokyo
Country : Japan
Annual Salary : ¥10,000,000 ~ ¥12,000,000

Job Description

Appealing Points:

  • Cutting-edge LLM/SLM innovation tailored for telecom applications Work with leading foundation models (like LLaMA, Falcon, Mistral) to build specialized AI systems for telecom data and operations.
  • Unique opportunity to integrate deep telecom expertise with state-of-the-art AI Collaborate directly with domain experts to design solutions that address real-world telco challenges in Core, RAN, and Transport systems.
  • Leadership role with end-to-end impact and technical ownership Drive architecture decisions, deploy scalable AI pipelines, and mentor team members while shaping strategic AI directions for the company.

Annual Salary: 10 Million and Above

Job Responsibilities:

  • Lead the design, fine-tuning, and deployment of domain-specific Large and Small Language Models (LLMs/SLMs) for telecom applications.
  • Collaborate with telecom experts (Core Networks, RAN, IPTX, ACI) to integrate deep domain knowledge into AI models.
  • Work with Data Scientists and AI Engineers to incorporate telco-specific use cases, feature engineering, and evaluation frameworks.
  • Develop models capable of processing large-scale telco-native data (logs, topologies, session traces, etc.).
  • Evaluate, customize, and optimize foundation models (e.g., LLaMA, Falcon, Mistral) using advanced techniques (LoRA, quantization, distillation).
  • Architect reusable components for prompt engineering, retrieval augmentation (RAG), and agent frameworks.
  • Contribute to model deployment strategies, efficient inference pipelines, and scalable MLOps practices.
  • Mentor junior engineers and provide technical leadership across strategic AI initiatives.
  • Collaborate with leadership to translate business needs into innovative AI solutions for telecom operations.
  • Leverage expertise in hybrid cloud-native infrastructure and large-scale AI experimentation to drive platform innovation.

Job Qualification: 

  • 10+ years in machine learning, including 5+ years in LLM/NLP/SLM development.
  • Extensive experience fine-tuning and evaluating large-scale transformer models for specialized domains.
  • Deep understanding of LLM architectures, training pipelines, Agentic AI, and evaluation metrics.
  • Proven experience with open-source model stacks (Hugging Face, DeepSpeed, LangChain, LoRA/PEFT, etc.).
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch).
  • Demonstrated ability to collaborate with non-ML experts to integrate domain-specific logic into ML models.
  • Experience working with data from critical telecom systems (Core Networks, RAN, Transport, etc.).
  • Proven track record delivering scalable NLP systems and customer-centric ML solutions.
  • Bachelor’s degree (B.E. or equivalent).

Preferred Qualifications

  • Hands-on experience developing SLMs for vertical or constrained applications.
  • Familiarity with 4G/5G architecture, protocol layers, and real-time telecom analytics.
  • Experience with MLOps and deploying models in production at scale.
  • Contributions to open-source projects or research in the LLM/SLM space.
  • Experience with data platforms (OnPrem/Hyperscalers) for telecom-grade analytics and integration.
  • Master’s degree is a strong plus.

Langauge Proficiency: Conversational Level Japanese (JLPT N3) and Business level english.

Company Description:

The largest eCommerce company in Japan, and the third-largest e-comBusiness-levelmerce 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

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