Gen AI Engineer - Telecom Networks

Key Responsibility:

GenAI Solution Development

1. Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators).

2. Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance.

3. Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS/BSS, network data, and knowledge bases.

AI/ML Engineering

1. Collaborate with data engineers to build telecom-specific feature stores and data pipelines.

2.Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate them with GenAI workflows.

3. Optimize models for low-latency inference in real-time network environments.

Skills Required.

Core Technical Skills

1. Strong hands-on experience with GenAI frameworks: LangChain, LlamaIndex, HuggingFace Transformers, RAG implementations.

2. Proficiency in Python (must-have), with experience in building APIs/microservices (FastAPI/Flask/Django).

3. Knowledge of Vector Databases (Pinecone, Weaviate, Milvus, FAISS).

4. Cloud experience with Azure OpenAI, AWS Bedrock, or GCP Vertex AI.

5. Experience in fine-tuning/few-shot prompting for LLMs.

6. Familiarity with MLOps/LLMOps pipelines (MLflow, Kubeflow, or equivalent).

Telecom Network Skills

1. Understanding of OSS/BSS systems and telecom network data flows.

2. Exposure to domains such as RAN KPIs, Transport performance, Fault/Event/Alarm management, Network Planning, Telco Cloud orchestration.

3. Experience in applying AI/ML to telecom datasets (KPI prediction, anomaly detection, alarm correlation, capacity planning).

Location : New Delhi, Noida & Gurgaon