AI/ML Engineer

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.