Engineer ran Jobs

S&C Global Network - AI - Telecom Analytics - Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Telco Solutions Engineer
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- English
23h
AI Architect with Telecommunications (Telco /OSS)
CGI —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Master's degree
Quick apply
Senior Engineer - ASIC Design
Ericsson —Chennai, Tamil Nadu
- English
- Electrical experience
- Bachelor's degree
9d
RIC RAN Developer /Telecom Systems
SFJ Business solutions —Bengaluru, Karnataka
- ₹33 - ₹35 a year
- Full-time
- Software troubleshooting
- C++
- Communication skills
Quick apply
Member of Technical Staff - Sys
Aptiv plc —Chennai, Tamil Nadu
- Full-time
- DevOps
- Microsoft Office
- Analysis skills
Senior Engineer M-Plane Software Developer
GreenWave Radios™ —Bengaluru, Karnataka
- Master's degree
- Analysis skills
- C++
Quick apply
Lead Engineer - ASIC Design
Ericsson —Bengaluru, Karnataka
- English
- Electrical experience
- Bachelor's degree
Quantitative Investment Strategies, Vice President, Institutional Equity Division
Morgan Stanley —Mumbai, Maharashtra
- Full-time
- Java
- Master's degree
- C++
Senior Member of Technical Staff - Sys
Aptiv plc —Chennai, Tamil Nadu
- DevOps
- AWS
- AI
C++ / Java Developer
GVMS Infotech —Hyderabad, Telangana
- Java
- C++
Head Barista
Sourdough Sophia —Forbesganj, Bihar
- ₹14.00 - ₹14.50 an hour
- Email
- Hospitality
- Customer service
- Cooking
- Flexible schedule
- Food provided
Telecom SW Architect
AFRY —Pune, Maharashtra
- Computer Science
- C++
- Bachelor's degree
Team Leader
Sourdough Sophia —Forbesganj, Bihar
- ₹14.00 - ₹14.50 an hour
- Email
- Hospitality
- Customer service
- Cooking
- Flexible schedule
- Food provided
MSET QR Data Strats , Senior Manager , Institutional Equity Division
Morgan Stanley —Mumbai, Maharashtra
- Full-time
- Computer Science
- DevOps
- Engineering
Applied R&D Engineer 5 - IVT
NOKIA —India
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
NPO Specialist
NOKIA —India
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
MBSS Engineer (Security Hardening Analyst)
NOKIA —India
- Full-time
- Azure
- Computer Science
- Bachelor's degree
Specialist NPO
NOKIA —India
- Full-time
- Master's degree
- Bachelor's degree
- Scripting
MS Specialist Radio
NOKIA —India
- Full-time
- Bachelor's degree
- Continuous improvement
- Communication skills
8d

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S&C Global Network - AI - Telecom Analytics - Manager

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Ontology
BCS
Data modelling
Azure
Law
Computer Science
Master's degree
SQL
AWS
Bachelor's degree
Computer networking
Data analytics
APIs
Data science
AI
Leadership
Communication skills
Graph databases
Python
Data Science

Full job description

Job Title - Decision Science Manager S&C GN

Management Level: Manager

Location: Bangalore/ Kolkata/Gurugram/Hyderabad

Must have skills: Telecom Network & Data Analytics

Good to have skills: CVM Use Case, Data Modeling, Knowledge Graph & Ontology Modeling

Job Summary:

We are seeking a skilled Network AI Manager with deep expertise in telecom networks (RAN, Core, Transport) to lead the design and delivery of AI/ML and Generative AI solutions for network operations, design & build, optimization and end-to-end automation. This role is responsible for defining the AI strategy and roadmap, translating business and network KPIs into scalable AI and agentic use cases such as anomaly detection, root cause analysis (RCA), and predictive optimization, zero touch automation, autonomous network. Candidate will provide technical and cross-functional leadership, guiding data scientists, data engineers, and network SMEs to deliver production-grade Network AI solutions.

Key Responsibilities

Project and Team Leadership

Lead collaboration with network domain experts, business stakeholders, and product teams to identify, prioritize, and shape high-impact AI/ML and GenAI use cases across telco networks.
Own the end-to-end Network AI delivery lifecycle, providing technical direction for the design, development, and deployment of ML and GenAI/Agentic AI solutions using large-scale structured and unstructured telecom data.
Set standards and best practices for data analysis, feature engineering, explainability, and telecom data management to ensure reliable, and trustworthy AI systems.
Guide the adoption of LLM-powered applications, such as GenAI copilots, knowledge assistants, and intelligent operational interfaces, to enhance network operations and decision-making and improve processes and efficiency within AI guardrails.
Translate business and network KPIs into scalable AI architectures, roadmaps, and PoCs, ensuring alignment with enterprise design principles and long-term goals.
Provide technical leadership and executive-level communication, advising stakeholders on AI strategy, trade-offs, and best practices for enterprise AI adoption in telecom.
Mentor junior team members and foster a collaborative, high-performance culture and strengthen Network AI Pod.

Generative AI Expertise

Stay up to date with emerging GenAI/Agentic AI technologies and assess their potential for solving telecom-specific challenges and define and govern solution architectures and PoCs, translating business and network requirements into scalable designs for solving telco network problems.
Provide technical leadership and advisory support to business, network, and product stakeholders, guiding best practices for enterprise GenAI adoption within telecom environments
Architect and oversee agentic AI workflows for network intelligence and automation, leveraging frameworks such as LangChain, LlamaIndex, AutoGen, and enterprise system integrations.
Guide optimization of AI agents and RAG pipelines, setting standards for vector stores, performance tuning, and scalability rather than hands-on implementation.
Advise clients on GenAI adoption, aligning solutions with business objectives and tech ecosystems.

Cloud Platform

Familiarity with any of the cloud hyper scaler (Azure, AWS, or GCP)
Integrate AI solutions with enterprise data ecosystems, including data lakes, warehouses, and real-time pipelines.

Required Qualifications

Education: Master’s or Bachelor’s degree in Computer Science, Data Science, Statistics, Telecommunications, or related field.
Experience: 12+ years of experience in Telecom Network with at least 5+ years applying AI/ML in telecom or network-related domains.
Strong problem-solving, consulting, and stakeholder communication skills.
Proficiency in Python, SQL.
Strong understanding of telecom network data RAN/Core/Transport/Fiber (OSS/BSS, KPIs, alarms, logs, CDRs, performance counters).
4+ Years of experience of leading project delivery
Prior experience working in consulting / client-facing roles delivering AI/ML solutions.
Exposure to knowledge graph techniques for telecom use cases.
Prior experience working in consulting / client-facing roles delivering AI/ML solutions.

Preferred Skills

Experience in Data Modeling & Network 360 Design & Build.
Experience in Knowledge Graph & Ontology for telecom use cases.
Knowledge of semantic search and knowledge graph integration with LLMs
Familiarity with data privacy, security, and AI governance frameworks
Contributions to AI/ML/GenAI open-source projects or research publications.
Familiarity with TM Forum standards (Open APIs, AI governance, ODA)

Apply Now

Refine Your Search

S&C Global Network - AI - Telecom Analytics - Manager

Telco Solutions Engineer

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MSET QR Data Strats , Senior Manager , Institutional Equity Division

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