Designation: AI/ML Engineer – OSS Standards automation & Research

Location: Bangalore, 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:
Develop and deploy Autonomous Agents that ingest, analyse, and summarize massive volumes of technical specifications (3GPP, O-RAN, TMF, ETSI).
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.
Automate the creation of technical contributions, liaison statements, and compliance reports using LLM-based agentic workflows.
Back-Office Operational Excellence:
Engineer AI solutions to streamline internal back-office workflows, including automated mapping of O-RAN and other SDO requirements to product backlogs.
Use Data Analytics to monitor standards-related industry trends, providing the leadership team with predictive insights on where the industry is heading.
Build agents to automate the identification of innovation areas across different SDOs for IP creation and Claim charts.
Agentic Framework Development:
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.
Build internal tools that allow non-technical standards delegates to query complex technical specs via natural language interfaces.
Technical Implementation:
Develop, fine-tune, and deploy ML models that support our orchestration and management (OSS/RAN) strategy.
Maintain and scale containerized AI services within Kubernetes (K8s) environments, ensuring high availability for back-office automation tools.
Streamline & automate the adoption of various standards to our products and ensure no breaking.

Required Technical Skills

AI/ML & Agentic Frameworks:
Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and Agentic frameworks (e.g., LangChain, AutoGen, CrewAI).
Proven ability to build agents that can reason, plan, and execute tasks across software tools.
Telecom Domain Knowledge:
Strong familiarity with OSS/RAN orchestration and key industry frameworks: 3GPP SA5, ETSI MANO, O-RAN Alliance (SMO), TMF Open APIs, and ONAP.
Understanding of the CNCF ecosystem and how cloud-native principles apply to telecom.
Programming & Data:
Expert-level Python programming.
Experience with data extraction, cleaning, and transformation (ETL) from structured and unstructured technical documents.
Proficiency in SQL and NoSQL databases for managing standards-related datasets.
Infrastructure:
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.

Technical Lead AI/ML