Applied AI Scientist(m/f/d)
Core
Build AI platforms that transform complex telecom network data (drive tests, voice quality, signaling) into actionable insights using agentic AI and RAG systems.
Role type
Applied AI Scientist (ML & Agentic AI)
Builds
Production-ready AI tools, agentic AI systems, and RAG pipelines for telecom network analysis
Domain
Telecommunications / Network Infrastructure / AI
Deliverable
production ML models
Required skills
Agentic AI systems design, RAG pipeline development, LLM-powered system implementation, Machine learning modeling, Python software engineering, Data analysis, MLOps, Cloud infrastructure (AWS)
Preferred skills
Telecom domain knowledge, Signal processing, LLM evaluation & observability, Prompt engineering, Cost/latency optimization
Technologies
Python, scikit-learn, XGBoost, LightGBM, LangGraph, Chroma, FAISS, LangSmith, Langfuse, AWS (Bedrock, ECS, S3)
Responsibilities
Design and build agentic AI systems and RAG pipelines; Develop evaluation datasets, metrics, and benchmarks for system quality; Turn data science insights into production-ready solutions; Develop ML models for classification, anomaly detection, and root-cause analysis; Research and experiment with new AI models and methods.
Seniority
Mid-Senior (3+ years experience)
