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Role
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AGM - Data Scientist
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Job Level/ Designation
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M2/AGM
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Function / Department
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SNOC/Performance Analytics (S&PM)
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Location
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Pune
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Job Purpose
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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.
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Key Responsibilities
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- 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.
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Required Skills & Experience
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- 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.
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Preferred Qualifications:
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- 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
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Education
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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.
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