Technical Lead AI/ML

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.