Job Specifications
Principal Data Scientist - (Gen AI, Machine Learning)
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, equity, and inclusion, where every employee thrives because of their unique perspective. Responsibilities
Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
Represent the organization externally through publications, talks, and collaborations, strengthening the company's thought leadership in AI and ML Requirements
Degree in Computer Science, Mathematics, or a related field
8+ years of experience in applied ML research and production deployment
3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact Qualifications
MS or PhD in Computer Science, Machine Learning, or a related discipline
Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment
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About the Company
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 4 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to providing the most talented energy professionals for our client recruitment campaigns and ensur...
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