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Job Responsibilities

  • Serve as a thought leader, shaping long-term ML strategy and driving innovation across products and platforms
  • Lead research and development of novel ML, GenAI, and Graph ML techniques, and translate cutting-edge research into scalable production systems
  • Guide end-to-end solution development including model design, experimentation, validation, deployment, and operations at scale
  • Mentor engineers and scientists, fostering a culture of technical excellence and cross-functional collaboration
  • Extend ML libraries, frameworks, and infrastructure to accelerate experimentation and production integration

Requirements

  • Degree in Computer Science, Mathematics, or a related field
  • 5+ years of experience researching and delivering ML solutions in production
  • Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
  • Experience developing Graph ML and Graph technologies such as GNNs and GraphRAG
  • Strong background across the full SDLC: design, coding, reviews, testing, deployment, and operations
  • Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)
  • Proven ability to tackle complex, ambiguous, high-impact problems

Preferred Qualifications

  • MS/PhD in Computer Science, Machine Learning, or a related discipline
  • Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Hudi, Druid, and Glue

Job Summary

CompanyExtremenetworks
LocationThornhill, Canada
TypeFull-Time
LevelStaff
DomainAI / Data Science