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