AI/Data Scientist II

This is a fully remote position, open to applicants in India.

📋 Description

• Examine telecom network information across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service sectors

• Create KPI models focused on performance, quality, faults, customer impact, capacity, and resilience

• Develop machine-learning algorithms for anomaly detection, fault prediction, root-cause analysis, and proactive assurance

• Establish data pipelines for aggregation, cleansing, enrichment, and feature engineering

• Assist in digital twin and graph analytics for topology, dependencies, service impact, and fault propagation

• Construct frameworks for network data quality, correlation, and entity resolution

• Facilitate AIOps use cases such as alarm reduction, incident prioritization, predictive maintenance, and root-cause analysis

• Work collaboratively with AI/LLM teams to supply datasets, features, embeddings, and metadata for RAG and AI agents

• Ensure alignment of network data models with TMF SID/Open API standards

⛳️ Requirements

• 6–12 years of relevant experience

• Immediate availability or a notice period of 0–60 days

• Expertise in Python, statistics, and machine learning

• Experience in KPI and feature engineering

• Knowledge of network performance analytics across RAN, Core, IP, SD-WAN, and Transport

• Skills in fault analysis, correlation, and anomaly detection

• Familiarity with AIOps and predictive analytics

• Experience with data pipelines and quality management

• Understanding of TMF SID/Open APIs

• Knowledge of graph analytics and digital twin analytics

• Proficiency in BigQuery or similar platforms

• Familiarity with LLMs, RAG, and AI agents

🏝️ Benefits

• Options for remote work

• Flexible scheduling

• A culture of inclusivity

• Opportunities for continuous learning

• Certification programs in emerging technologies like cloud and AI