Vi (Vodafone Idea)

GM - IT Analytics

Vi (Vodafone Idea)
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 10 yearsMin. 10 years

Job Description

GM - IT Analytics

Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India’s leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly ‘Digital India’ by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India.

 

We're proud to be an equal opportunity employer. At VIL, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected and empowered to reach their potential and contribute their best.

 

VIL's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our Values of Passion, Boldness, Trust, Speed and Digital. Consequently, our recruiting efforts are directed towards attracting and retaining best and brightest talents. Our endeavour is to be First Choice for prospective employees.

 

VIL ensures equal employment opportunity without discrimination or harassment based on race, colour, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

 

VIL is an equal opportunity employer committed to diversifying its workforce.

Position Overview

Vodafone Idea is looking for a seasoned AI Architect to design, build, and scale enterprise-grade AI and Generative AI (GenAI) solutions. In this role, you will be responsible for defining the technical architecture and roadmap for AI applications deployed on top of our enterprise Cloudera Data Platform (CDP 7.1.9 / 7.3.1).

You will bridge the gap between complex big data ecosystems and cutting-edge machine learning/LLM workflows. The ideal candidate brings hands-on expertise in model selection, lifecycle governance, prompt engineering, and production-grade MLOps/AIOps integrated into modern DevOps pipelines.

Key Responsibilities

1. Enterprise AI & CDP Solution Architecture

  • Lead the end-to-end architecture and integration of Predictive AI and Generative AI applications built directly on CDP 7.1.9 / 7.3.1 infrastructure.
  • Design high-throughput, low-latency data pipelines and feature stores leveraging CDP components (Spark, Hive, Impala, Kafka, Apache Iceberg).
  • Establish retrieval-augmented generation (RAG) frameworks, fine-tuning setups, and vector search systems connected to enterprise big data repositories.

2. Model Selection, Implementation & Governance

  • Evaluate, benchmark, and select optimal foundational models (LLMs, SLMs, open-source vs. proprietary) and classic ML algorithms tailored for telecom use cases (e.g., customer churn, network optimization, hyper-personalization, fraud detection).
  • Enforce robust AI Governance frameworks covering model drift detection, explainability (XAI), fairness/bias mitigation, data privacy, and compliance.
  • Manage model registry, lifecycle versioning, and policy enforcement across dynamic runtime environments.

3. Prompt Engineering & GenAI Optimization

  • Establish standardized prompt engineering methodologies, context-window management, and agentic workflows (e.g., LangChain, LlamaIndex, AutoGen).
  • Optimize token utilization, latency, throughput, and inference costs for LLM deployments.
  • Implement guardrails, output validation, and safety filters to prevent hallucination, data leakage, and security risks in public/private LLM interactions.

4. MLOps, AIOps & DevOps Integration

  • Design and implement robust MLOps/AIOps pipelines for automated model training, continuous integration, testing, deployment, and real-time monitoring (CI/CD/CT).
  • Partner with DevOps teams to deploy containerized AI microservices (Kubernetes, Docker) within hybrid-cloud and on-premises infrastructure.
  • Configure comprehensive telemetry, logging, and observability tools (Prometheus, Grafana, MLflow, Weights & Biases) to maintain continuous operational health.

Required Qualifications & Experience

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years in Data Science / Software Engineering, with at least 4+ years as an AI/ML Architect delivering enterprise scale systems.
  • Big Data Platform: Deep hands-on experience with Cloudera Data Platform (CDP 7.1.9 or CDP 7.3.1), PySpark, HDFS, and Hive/Impala.
  • AI & GenAI Expertise: Proven experience developing, fine-tuning, and deploying Large Language Models (LLMs), RAG architectures, multi-agent frameworks, and traditional supervised/unsupervised ML models.
  • MLOps & Governance: Strong experience with MLflow, Model Registry, feature stores, model drift monitoring, data lineage, and enterprise AI guardrails.
  • DevOps Tools: Proficiency with Docker, Kubernetes, CI/CD tools (Jenkins, GitLab CI, GitHub Actions), Infrastructure-as-Code (Terraform, Ansible), and Git workflows.
  • Programming Languages: Advanced expertise in Python, PySpark, SQL, and bash scripting.
  • Frameworks & Libraries: PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, vLLM, Triton Server.

Preferred Qualifications

  • Prior experience in Telecom / Communication Service Provider (CSP) domain handling massive scale subscriber and event network data.

Vodafone Idea Limited (formerly Idea Cellular Limited)
An Aditya Birla Group & Vodafone partnership

Experience Level

Senior Level

Job role

Work location
Work locationPune, Maharashtra, IN
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 10 years

About company

Name
NameVi (Vodafone Idea)
Job posted by Vi (Vodafone Idea)

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