Technical Lead AI/ML

Job Description:

Designation: AI/ML Engineer – OSS Standards automation & Research 
Location: Bengaluru, India

Why should you choose us?
Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting 
outmoded thinking that threatens the industry's pursuit of rapid innovation and growth. Based 
on proven modern infrastructure practices, its open interface platforms make it possible to 
launch and operate advanced mobile services in a fraction of the time and cost of conventional 
approaches, with no compromise to network quality or security. Rakuten Symphony has 
operations in Japan, the United States, Singapore, India, South Korea, Europe, and the Middle 
East Africa region. For more information, visit: https://symphony.rakuten.com  
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 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 1.9 billion members around the world. The Rakuten 
Group has over 30,000 employees, and operations in 30 countries and regions. For more 
information visit https://global.rakuten.com/corp/.

Job Summary
We are seeking a versatile AI/ML Engineer to serve as the technical backbone for our Standards 
& Compliance division. In this role, you will leverage your expertise in Agentic AI, LLMs, and 
Data Analytics to automate the labor-intensive aspects of standardization work. You will build 
autonomous agents to parse complex 3GPP/TMF specifications, generate compliance 
documentation, track industry shifts, and streamline our back-office technical operations. You 
are an "Automation-First" engineer who understands the telecom domain and uses AI to turn 
mountains of technical specifications into actionable, automated reality.

Experience: 3–8 Years 
Location: Bengaluru 
Key Responsibilities

• Standards Intelligence & Automation:
o Develop and deploy Autonomous Agents that ingest, analyse, and summarize 
massive volumes of technical specifications (3GPP, O-RAN, TMF, ETSI). 
o Build AI-driven pipelines to automate "Gap Analysis" between our current 
product features and evolving industry standards so that we can either update 
our product roadmap or contribute back to the industry forums as applicable.  
o Automate the creation of technical contributions, liaison statements, and 
compliance reports using LLM-based agentic workflows. 
• Back-Office Operational Excellence:
o Engineer AI solutions to streamline internal back-office workflows, including 
automated mapping of O-RAN and other SDO requirements to product 
backlogs. 
o Use Data Analytics to monitor standards-related industry trends, providing the 
leadership team with predictive insights on where the industry is heading. 
o Build agents to automate the identification of innovation areas across different SDOs for IP creation and Claim charts. 
• Agentic Framework Development:
o Design and implement adaptor like multi-agent systems that can interact with 
various APIs (TMF Open APIs, OSS interfaces) to be compliant to different 
standards and well automate the validation. 
o Build internal tools that allow non-technical standards delegates to query 
complex technical specs via natural language interfaces. 
• Technical Implementation:
o Develop, fine-tune, and deploy ML models that support our orchestration and 
management (OSS/RAN) strategy. 
o Maintain and scale containerized AI services within Kubernetes 
(K8s) environments, ensuring high availability for back-office automation tools. 
o Streamline & automate the adoption of various standards to our products and 
ensure no breaking.

Required Technical Skills 
• AI/ML & Agentic Frameworks:
o Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and 
Agentic frameworks (e.g., LangChain, AutoGen, CrewAI). 
o Proven ability to build agents that can reason, plan, and execute tasks across 
software tools. 
• Telecom Domain Knowledge:
o Strong familiarity with OSS/RAN orchestration and key industry 
frameworks: 3GPP SA5, ETSI MANO, O-RAN Alliance (SMO), TMF Open APIs, and ONAP. 
o Understanding of the CNCF ecosystem and how cloud-native principles apply to telecom. 
• Programming & Data:
o Expert-level Python programming. 
o Experience with data extraction, cleaning, and transformation (ETL) from 
structured and unstructured technical documents. 
o Proficiency in SQL and NoSQL databases for managing standards-related 
datasets. 
• Infrastructure:
o Experience with Kubernetes, Docker, and CI/CD pipelines for deploying AI 
agents into production. 
Must-Haves 
• The "Translator" Mindset: Ability to read a 500-page 3GPP specification and build an AI 
agent that extracts the specific requirements relevant to our product. 
• Automation Portfolio: Demonstrated experience building agents or automation scripts 
that have significantly reduced manual effort in your previous roles. 
• Domain Literacy: You don't need to be a standards delegate, but you must be able to understand the "language" of 3GPP and TMF to build meaningful tools for them. 
Soft Skills
• Operational Empathy: You enjoy "back-office" work—meaning you are motivated by 
building tools that make your colleagues' lives easier and more efficient. 
• Self-Starter: The ability to identify a manual process in the standards-tracking lifecycle 
and proactively build an AI solution to fix it. 
• Communication: Ability to bridge the gap between high-level policy discussions and 
low-level code implementation.

Education
• Bachelor's or Master's degree in Computer Science, Telecommunications, or AI/ML. 
Additional Skills
• Virtualization, Cloud native architectures, Kubernetes and Cloud environments. 
• Good understanding of Agile principles and processes.  
• Experience working in a fluid, start-up-like 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.