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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Should have knowledge of, but not expertise in, open-source high-code frameworks like PyTorch or TensorFlow, augmented AI and ML platforms, pretrained ML models and integrated AI PaaS tools.
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Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch). Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning.
$333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work with technologies like Python, Docker, Kubernetes, PyTorch, TensorFlow, and cloud platforms to write scalable and optimized data access patterns for real-time machine learning applications.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our client is looking for an ML Engineer with extensive real-time bidding and AdTech experience to join their growing Machine Learning team. Designing, developing, and implementing machine learning models and algorithms to solve complex problems across various domains including recommendation systems, natural language processing, and predictive analytics.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Develop production machine learning solutions batch and realtime to provide the world class merchant experience.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Center 3 (19075), United States of America, McLean, VirginiaSenior Lead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
$234,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The AI Architect/Principal Engineer will play a pivotal role in designing and implementing AI and machine learning systems that solve complex problems and create value for our clients.
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12+ years of experience in software engineering, machine learning, data science, or artificial intelligence. NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, NLP and/or ML Python frameworks, such as PyTorch, TensorFlow.
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In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies. When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Job Title: Machine Learning Engineer (Hybrid) Experience with machine learning library such as Tensorflow, PyTorch, or scikit-learn. Understand the business needs and requirements and translate them into Machine Learning solutions.
$118.5 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Summary: The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ and Hulu platforms, in a highly collaborative environment. Ensuring healthy training configurations for tensorflow/pytorch training jobs, and serving layers (through both gRPC and REST.
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Experience in one or more major machine learning frameworks: Tensorflow, Pytorch, Scikit-Learn. Experience applying data engineering and machine learning techniques.
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Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar. 5+ years experience developing and deploying large-scale machine learning models and/or applications in production, including batch and real-time data processing, model containerization, CI/CD, REST or GraphQL APIs.
$261,500 a yearFull-timeExpandUpdated Yesterday
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