AGM - Data Scientist

Job Req ID: 51073

Location

Pune, Maharashtra, IN

Function: Technology/ IOT/Cloud

About

• *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.