AGM - Data Scientist

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 Spark, Kafka, Databricks or similar platforms .

- Strong analytical, problem-solving and stakeholder communication skills.

Preferred Qualifications:

- 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

Education

Bachelor’s degree in computer science , Data Science, AI, Statistics, Engineering or a related quantitative discipline . Master's degree or relevant AI/ML certification is an advantage.