Lead Machine Learning Expert - AI Products & Engineering Dep (RMI AI & Data Dep)
Lead Machine Learning Expert - AI Products & Engineering Dep (RMI AI & Data Dep)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description:
About Organization
Rakuten Mobile is building the worlds first fully virtualized cloud-native mobile network redefining telecom through advanced AI. Join us to innovate at the intersection of mobile technology and AI delivering unparalleled network performance and customer experience.
Job Duties
We are seeking aLead Machine Learning Expertwith deep expertise in NLP and large-scale model development to spearhead the creation of aSmall Language Model (SLM)specifically tailored to the telecom domain. This is a strategic and hands-on role requiring technical leadership inLLM/SLM development as well as close collaboration across telecom network engineering and AI teams.
A critical aspect of this role involvescollaborating closely with subject matter expertsinCore Networks RAN (Radio Access Networks) IPTX and ACIto deeply understand telecom-specific workflows configurations and operational data. This understanding will inform thedesign and fine-tuning of a Small Language Model (SLM)purpose-built for the mobile network domaincapable of interpreting reasoning and generating insights from complex context-rich telecom environments fundamentally transforming how we operate and optimize our network.
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.
Minimum Qualifications
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.
Bachelors 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.
Masters degree is a strong plus.
Languages:
English (Overall - 3 - Advanced)Employment Type
Full-Time
