- Provide technical leadership and vision for large-scale distributed systems, ML platforms, and next-generation data infrastructure
- Lead the design, architecture, and delivery of end-to-end solutions across the full SDLC, spanning development, testing, deployment, and operations
- Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready solutions
- Architect scalable microservices and real-time inferencing systems leveraging modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway
- Mentor and grow engineering teams, set technical direction, and foster a culture of engineering rigor, collaboration, and operational excellence
- Champion best practices for building resilient, secure, and high-performance systems, optimized for scale and reliability
- Degree in Computer Science, Mathematics, or a related field
- 10+ years of experience across the full software development lifecycle including design, coding, reviews, testing, deployment, and operations
- 5+ years of experience with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi
- Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
- Experience working with Graph ML and Graph technologies such as GNNs
- Strong track record of end-to-end solution ownership, from design through production scaling
- 5+ years of experience deploying large-scale solutions on cloud platforms such as AWS, Azure, or GCP
- Proven ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact
- MS or PhD in Computer Science, Machine Learning, or a related discipline
- Experience with sensitive or streaming data pipelines, including real-time compliance and governance controls
- Salary based on qualifications, experience and region up to USD plus benefits.
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+We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. · +Build and optimize data pipelines and backend services to process device and behavioral data in real t ...
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As a Machine Learning Engineer with 4 to 8 years of experience you would primarily involve designing developing and deploying machine learning models and algorithms to solve real-world problemsModel Development: Designing and Building Models Develop and build machine learning mod ...
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The Machine Learning Engineer will have deep expertise in healthcare and pharmacy data. The focus of the role is on designing scalable, reliable, and compliant ML solutions that support improved patient outcomes, optimize pharmacy operations, · and enable real-time, data-driven d ...
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Description · At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to ...
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Machine Learning Engineer - Scheduling Optimization (Greenfield Project) · SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER · LOCATION: Irvine, CA (onsite). Monday throughThursday onsite, Fridays remote. · COMPENSATION: $75-95 an hour. This is a 2-year contract t ...
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· Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector. · Re ...
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We believe leadership is the greatest force for good. At ghSMART, whether you're guiding the world's top leaders or helping power the firm from within, you play a vital role in solving our clients' greatest challenge: building and developing talented, diverse teams that fuel last ...
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Job summary Build the intelligence behind next generation of agentic AI systems and related AI systems that reason over massive heterogeneous log data. ...
United States1 month ago
AI Principal Machine Learning Engineer (10026) - United States - Extreme Networks
Description
AI Principal Machine Learning Engineer - (Gen AI, Big Data):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.
There has never been a better time to join Extreme. 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, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
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Machine Learning Engineer
Only for registered members North
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Machine Learning Engineer
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Engineer, Machine Learning
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States
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Machine Learning Engineer
Only for registered members United States