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Programming / scripting experience with languages such as Python·Experience working with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, scikit-learn)·Programming language experience with C / C.
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An innovator in the AI spaceGenAI and Computer Vision is hiring a Senior Machine Learning Engineer (or a Mid Level Machine Learning Engineer with a high-level tech degree) to join this growing startups team of 5.
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Ideally looking for candidates who have a wide range of experience using at least a few of the following tech: PyTorch, Tensorflow, Sickit-Learn, GenAI, HuggingFace, PySpark, Databricks, Sagemaker, Scala, Computer Vision, Deep Learning, NLP, etc.
$150,000 - $175,000Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing, computer vision, recommendation systems, Generative AI.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As the Machine Learning Engineer Manager, you will lead a team responsible for deploying, monitoring, and managing machine learning models in production environments to solve business problems.
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Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Proven experience as a Machine Learning Engineer or in a similar role.
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Design, develop, and implement AI algorithms using machine learning and deep learning frameworks (TensorFlow). You will leverage your expertise in machine learning and software development to design, build, and deploy optimized AI solutions that drive real-world business results.
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Drive the latency, robustness, and scalability, and provide guidance to improve retrieval latency and throughput by making best use of AWS and Machine Learning infrastructure. Current stack used is aws ec2 instances, pytorch and tensorflow models.
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Job Title: Senior Machine Learning Operations Engineer. As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions.
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Recent participation in software development and deployment on a Tier 1 cloud service provider, IoT applications, machine learning, or embedded systems. We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services.
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You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
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Senior Product Engineer for a prominent client of ours. Title: Senior Product Engineer. Take ownership of aptios product from engineering standpoint, maintain and improve on current products Cloud infrastructure and design leveraging mainly as cloud source AWS. With some automation sitting in Azure devops.
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5+ years of dedicated experience as a Machine Learning Engineer or similar role. We're looking for an experienced Machine Learning Engineer that is ambitious, quick to learn, practical and outcomes driven.
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We are hiring for a Senior Machine Learning Engineer with 2-3 yrs. Senior Machine Learning Engineer - LLMs. You will also play a pivotal role in designing and architecting scalable and efficient machine learning systems that will be capable of processing large volumes of data and are deployable in production environments.
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Familiarity with popular machine learning frameworks including Tensorflow, Keras or PyTorch. Under the direct supervision of Dr. Peter Chang, the candidate for this position will act as senior data engineer for the Chang Lab, in turn supporting various campus-wide initiatives for health informatics including the Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), Institute for Precision Health and the Health Data Platform Collaboratory.
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tensorflow machine learning engineer jobs in Santa Ana, CA
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