Senior Data Scientist-Gen AI, Machine Learning (10483)
Core
Define and drive long-term data science and ML strategy, lead high-impact research in ML/GenAI/Graph ML, and mentor senior-level scientists to shape next-gen networking experiences.
Role type
Principal/Strategy-level Senior Data Scientist (Generative AI & Machine Learning)
Builds
Intelligent, high-performance multi-agent systems for network management (AI Agents, RAG, Knowledge Bases, Anomaly Detection, LLM fine-tuning)
Domain
Networking infrastructure + Generative AI & Machine Learning
Deliverable
production ML models
Required skills
Generative AI solution design (RAG, AI Agents, LLM fine-tuning), Graph ML (GNNs, GraphRAG), end-to-end ML system ownership, cloud platform deployment (AWS/Azure/GCP), strategic roadmap definition, cross-functional alignment, complex problem solving
Preferred skills
Distributed Big Data/ML platforms (Spark, Flink, Kafka, PySpark, Lakehouse), academic recognition (publications, patents, talks), organizational-level influence
Technologies
GNNs, GraphRAG, LLMs, RAG, AWS, Azure, GCP
Responsibilities
Define long-term data science and ML strategy; Lead high-impact research in ML, GenAI, and Graph ML; Partner with engineering and product leadership to align innovation with business goals; Mentor and guide staff- and senior-level scientists; Represent the organization externally through publications, talks, and collaborations
Seniority
Principal, strategy & mentorship
