Senior Machine Learning Infrastructure Engineer
2 weeks ago
We are seeking a seasoned Principal ML OPS Engineer to design, build, and optimize ML inference platforms. The ideal candidate will have significant expertise in Machine Learning engineering and infrastructure, with a focus on building high-performance, cost-effective inference systems.
Key Responsibilities- Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
- Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
- Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
- Provide technical leadership and mentorship to foster a high-performing engineering team.
- Proven track record in designing and implementing cost-effective and scalable ML inference systems.
- Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
- Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
- Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
- Ability to tackle complex challenges and devise effective solutions.
- Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
- Proficiency and recent experience in Java is required.
- In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.
We are the multicloud solutions experts. We combine our expertise with the world's leading technologies to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future.
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Senior Machine Learning Infrastructure Engineer
4 weeks ago
San Antonio, Texas, United States Rackspace Full timeAbout the RoleWe are seeking a seasoned Principal ML OPS Engineer to lead the design, development, and optimization of our ML inference platform. The ideal candidate will have significant expertise in Machine Learning engineering and infrastructure, with a focus on building scalable and efficient ML inference systems.Key ResponsibilitiesArchitect and...
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Senior Machine Learning Engineer
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San Antonio, Texas, United States Rackspace Full timeAbout the Role:We are seeking a seasoned Senior Machine Learning Engineer to design, build, and optimize AI-powered systems. The ideal candidate will have expertise in machine learning engineering and infrastructure, with a focus on building scalable AI solutions. Proven experience in developing and deploying AI models in a production environment is crucial....
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Azure Machine Learning Engineer
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Azure Machine Learning Engineer
3 days ago
San Antonio, Texas, United States eTek IT Services, Inc. Full timeJob Title: Azure Machine Learning EngineerWe are seeking a highly skilled and experienced Azure Machine Learning Engineer to join our dynamic Data Science and AI team.Key Responsibilities:Design, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.Utilize...
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Azure Machine Learning Engineer
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Machine Learning Operations Engineer
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Senior IT Infrastructure Specialist
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San Antonio, Texas, United States CRG Full timeJob SummaryCRG is seeking a highly skilled IT Infrastructure Engineer to support our enterprise network infrastructure in our corporate data centers. The ideal candidate will have experience with structured copper and fiber distribution systems, switch and router configurations, and server and appliance configurations.Key Responsibilities...
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Senior IT Infrastructure Specialist
3 weeks ago
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