Technical Lead AI/ML

Rakuten Symphony; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Rakuten Symphony is looking for an AI/ML Engineer to enhance automation in their Standards & Compliance division, focusing on the telecom industry. You'll develop autonomous agents to streamline complex processes, analyze technical specifications like 3GPP, and ensure compliance with evolving industry standards.

The role demands strong expertise in AI, machine learning models, and backend automation, alongside a fundamental understanding of telecom frameworks. A Bachelor's or Master's degree in a related field is required, with a preference for candidates having 3–8 years of experience.

Qualifications

• 3–8 years of experience in AI/ML engineering or related field.
• Hands-on experience with LLMs and agentic frameworks like LangChain.
• Ability to read complex telecom specifications and automate their processing.

Responsibilities

• Develop and deploy Autonomous Agents for technical specifications.
• Automate compliance documentation and back-office operations.
• Design systems that comply with industry standards and automate validation.

Skills

AI/ML & Agentic Frameworks

Programming in Python

Data extraction and transformation (ETL)

Telecom domain knowledge

Kubernetes and Docker

SQL and NoSQL databases

Education

Bachelor’s or Master’s degree in Computer Science, Telecommunications, or AI/ML

Tools

Kubernetes

Docker

Job description

AI/ML Engineer – OSS Standards automation & Research

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.

Experience: 3–8 Years

Key Responsibilities

• 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.