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GM - Data Scientist

GM - Data Scientist

Vodafoneidea
Fresher
Not Disclosed
  • Posted 7 hours ago
  • Be among the first 10 applicants

Job Description

Role

GM - Data Scientist

Job Level/ Designation

M3/GM

Function / Department

SNOC

Location

Pune

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 spatial temporal 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 / professional qualifications

Bachelors or Master's degree in Computer Science, Engineering, or related fields from premier institutions (IITs, NITs, BITS, or equivalent Tier-1 colleges)

More Info

Job Type:
Industry:
Employment Type:

Key Skills

LSTM

Math Stats optimization

Time-series decomposition

Syslog ISE analysis

MLflow

Similarity search

GENAI

Advanced ML probabilistic models

Embeddings

Agentic AI

Log classification

Telecom Analytics

KPI degradation

About Company

Similar Jobs

Pune, India
Skills:
Clustering, Deep Learning, Nlp, MLops, Python, Airflow, LSTM, Math Stats optimization, Time-series decomposition, Syslog ISE analysis, MLflow, Similarity search, anomaly detection, GENAI, Advanced ML probabilistic models, Embeddings, Agentic AI, Transformers, Log classification, Telecom Analytics, KPI degradation