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.