Job Purpose

Own the AI/ML roadmap and lead technical strategy for large-scale telecom analytics KPI prediction, anomaly detection, RCA automation, log intelligence, LLM-based systems, and predictive maintenance.

Key Result Areas/Accountabilities
Define AI/ML architecture, modeling frameworks, and experimentation strategy.
Lead DS teams, review designs, experiments, and validations.
Architect ML systems for real-time diagnostics and forecasting.
Solve complex network behavior issues with spatialtemporal ML.
Build scalable pipelines on enterprise VMs.
Translate network issues into ML solutions.
Own model governance, drift controls, and explain ability.

Core Competencies, Knowledge, Experience
Advanced ML: probabilistic models, anomaly detection, clustering.




Deep Learning: LSTM, Transformers, embeddings.
NLP: log classification, embeddings, similarity search.
Math/Stats: optimization, time-series decomposition.
Programming: Python expert.
Telecom Analytics: KPI degradation, syslog/ISE analysis.
MLOps: MLflow, Airflow, onprem deployments.
GENAI, Agentic AI

Must have technical / qualified qualifications
Bachelors or Master’s degree in Computer Science, Engineering, or related fields from premier institutions (IITs, NITs, BITS, or equivalent Tier-1 colleges)

📌 Gm Data Scientist Pune
🏢 Vodafone Idea
📍 Pune