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Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities. 10+ years of software engineering, analytics development or machine learning engineering experience.
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Experience in communications, spectrum sensing, electromagnetics, signal processing, machine learning/artificial intelligence, or applied mathematics. Expertise in signal processing, electromagnetics, modeling & simulation, machine learning, image, or control theory.
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Job Opportunity: Machine Learning Engineering Manager (NLP/LLMs) | Global Software Company. On behalf of our client, a global software company providing innovative solutions within the financial and regulatory space, we are seeking a highly skilled Machine Learning Engineering Manager.
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Here is an opportunity to join our company, a company whose solutions lie at the convergence of many exponentially accelerating innovative technologies: Cloud, edge computing and the Industrial Internet of Things (IoT); AI, machine learning and deep learning; Big Data and analytics; and 3D printing (additive manufacturing.
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This role requires expertise in NLP techniques, machine learning, and proficiency in programming languages used in NLP research and development. Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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As the Machine Learning Engineering Manager, you will lead a team of 5 engineers (with potential for growth) to deliver key machine learning projects related to analytics, Retrieval-Augmented Generation (RAG), and A/B testing.
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Ph. D. or Master's degree in Computer Science, Electrical Engineering, Neuroscience, or a related field with a focus on machine learning, artificial intelligence, or signal processing.
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Proficiency with deep learning tools and at least one machine learning tool, such as Hadoop, Apache Spark, TensorFlow, scikit-learn, or cloud-provider equivalents. Proven ability to work with at least one machine learning tool like Hadoop, Apache Spark, TensorFlow, or scikit-learn, or cloud-provider equivalents.
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In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects. Candidates working towards master’s degrees or a PhD in quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, Computational Linguistics or related quantitative disciplines or other similar degree.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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We are seeking a Director of Software Engineering to lead a team developing our fraud, risk, and Machine Learning data solutions. Design software architecture and data flows for scalable machine learning development work.
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Machine Learning | Infrastructure | AI | Python | SQL | Software Engineering| Deep Learning | Pytorch | Tensorflow. Experience in machine learning engineering or related roles, with a track record of developing and deploying models in production environments.
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Employ machine learning/artificial intelligence (ML/AI) and neural networks to refine physics-based models for mechanical properties and material characterization. Mechanical Analysis Engineer with Machine Learning.
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Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or a related field is required. Manage and build high-performance Data Engineering and Machine Learning Engineering teams, fostering a culture of innovation and excellence in a remote-first environment.
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machine learning engineering jobs Title: research intern Company: Dcs
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