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We’re looking for a Senior Machine Learning Engineer. Senior Machine Learning Engineer. Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (Databricks), Snowflake, SageMaker, Scikit-learn, etc.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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We are looking for a hands-on machine learning engineer who is passionate about crafting, developing, and deploying cutting edge AI/ML solutions which will impact millions of customers.
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We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts.
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CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing ML Platform Engineering Team. Our new colleague will be responsible for building globally distributed, fault-tolerant, and highly scalable ecosystems using Large Language Models.
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Fraud Analytics seeks a motivated and talented Lead Data Engineer (Data Architect I) to contribute to the Fraud Analytics units efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse.
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We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing through Machine Learning acceleration and FPGA acceleration.
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If you are a skilled AI Machine Learning Engineer looking for a challenging and rewarding opportunity, we encourage you to apply! As an AI Machine Learning Engineer, you will be responsible for developing, testing, and implementing machine learning algorithms and models to solve complex problems and improve business outcomes.
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With our next generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance.
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The combination brings together healthcare expertise, AI/machine learning technology and data-driven analytics solutions to deliver innovative solutions and value to our customers and the healthcare ecosystem.
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Tooling for Machine Learning: data management, model training, validation and deployment (C. We use cutting-edge technology (deep learning, computational fluid dynamics, cloud-based computing) combined with advanced clinical expertise to revolutionize the treatment of coronary artery disease.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Apply your advanced understanding of machine learning principles, including advanced analytics tools, applied mathematics, ML and Deep Learning frameworks and libraries, and ML techniques to design, build and support machine learning to achieve high quality generative AI user experiences.
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machine learning jobs Title: engineer in Austin, TX
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