Vodafone Idea Limited
AGM - Data Scientist
- Compensation
- Not disclosed
- Location
- Pune, Maharashtra, IN
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data science
- Posted
Skills
Must have
- 7+ years of experience in Data Science, AI/ML or Advanced Analytics.
- Strong hands-on expertise in Python, SQL and Machine Learning.
- Experience with scikit-learn, PyTorch, TensorFlow or equivalent.
- Hands-on experience with GenAI, LLMs, RAG, Embeddings, Vector Databases, Classical ML and Deep Learning.
- Exposure to Agentic AI frameworks such as LangGraph, LlamaIndex, AutoGen or CrewAI.
- Experience with MLOps platforms such as MLflow, Kubeflow, Azure ML, SageMaker or equivalent.
- Experience handling high-volume data using Spark, Kafka, Databricks or similar platforms.
- Strong analytical, problem-solving and stakeholder communication skills.
Nice to have
- Experience in telecom/network performance analytics.
- Knowledge of network anomaly detection, outage prediction, RCA, forecasting and network optimization.
- Experience with Azure/AWS/GCP, Docker, Kubernetes and microservices.
- Understanding of Responsible AI and AI governance
Full description
Role
AGM - Data Scientist
Job Level/ Designation
M2/AGM
Function / Department
SNOC/Performance Analytics (S&PM)
Location
Pune
Job Purpose
We are looking for an experienced, hands-on Data Scientist to develop and produce AI/ML, Generative AI and Agentic AI solutions for telecom network and performance analytics.
The role will work with large-scale network and operational data to deliver predictive insights, anomaly detection, forecasting, root-cause analysis and intelligent automation, with end-to-end ownership from model development to production deployment and monitoring.
Key Responsibilities
- Develop ML solutions for anomaly detection, forecasting, classification, clustering, NLP and predictive analytics.
- Apply AI/ML to telecom datasets including network KPIs, alarms, events, logs, configurations and service-performance data.
- Build GenAI/LLM applications, RAG pipelines, semantic search and Agentic AI workflows.
- Develop scalable batch and streaming data pipelines using Python, SQL, Spark, Kafka or similar technologies.
- Implement MLOps practices covering model versioning, CI/CD, deployment, monitoring, drift detection and retraining.
- Design production-ready AI services using APIs, microservices and containerized architectures.
- Apply Responsible AI, security, privacy, governance and AI guardrails.
- Collaborate with SNOC, Performance, Engineering and IT teams to translate operational problems into scalable AI solutions.
Required Skills & Experience
- 7+ years of experience in Data Science, AI/ML or Advanced Analytics.
- Strong hands-on expertise in Python, SQL and Machine Learning.
- Experience with scikit-learn, PyTorch, TensorFlow or equivalent.
- Hands-on experience with GenAI, LLMs, RAG, Embeddings, Vector Databases, Classical ML and Deep Learning.
- Exposure to Agentic AI frameworks such as LangGraph, LlamaIndex, AutoGen or CrewAI.
- Experience with MLOps platforms such as MLflow, Kubeflow, Azure ML, SageMaker or equivalent.
- Experience handling high-volume data using .