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Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field. Machine Learning Architect (hands-on, ML apps, product engineering.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
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Focus on computer vision, machine learning/deep learning, or image processing is preferred. Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
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Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Hands-on experience in machine learning, natural language processing, and AI technologies Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch) Experience with developing and deploying large language models either cloud or on-premise.
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2 years experience leading teams that in Machine Learning development including building and training large models, working with Pytroch and/or Jax/Tensorflow using large distributed fleets of GPU or other accelerated systems.
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Hands-on experience in several software programming techniques (including Python), machine learning libraries (including scikit-learn, TensorFlow, Keras, PyTorch) Extensive experience in statistical analysis (including uncertainty analysis), signals processing, machine learning algorithms (classification, regression forecasting, clustering) and AI techniques (probabilistic reasoning, natural language processing, image processing.
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3+ years of experience in deep learning in at least one machine learning framework (TensorFlow/Keras, PyTorch, Caffe, etc.) We are currently seeking a Machine Learning Engineer for our client in the Retail domain.
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Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow. Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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Together, we break through – as a Machine Learning Engineer (all genders) Collaboration: Collaborate with data scientists, software engineers, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
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Experience and/or academic background in building and supporting scalable and reliable data solutions and AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.
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Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions. A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer.
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Sr. Computer Vision and Machine Learning Engineer (hybrid) We have an immediate opening for a Sr. computer vision and machine learning engineer with experience in image dataset creation, object detection, deep learning, and AI modeling.
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Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field. We're looking to hire a Solutions Architect Artificial Intelligence/Machine Learning to join our team.
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Possess deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras4. Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
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