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Experience with machine learning frameworks such as TensorFlow or PyTorch. We're looking to hire a Senior AI Machine Learning Engineer to join our team. 5+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
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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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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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Staff Machine Learning Engineer (Remote within Ireland) As a Staff Machine Learning Engineer on the Predictive AI Models team at HubSpot, you’ll do many things— and you likely already have experience doing some of them in the past.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Spark MLlib: Machine learning library built on Apache Spark for distributed data processing. TensorFlow: Open-source framework by Google for building and training deep learning models.
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
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Founded in 2011, we have a long history of delivering tech-forward web/cloud, robotic, IoT, and machine learning solutions. Breadth of Experience (e.g., Full Stack Web experience, Machine Learning expertise, Python mastery, etc.
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5+ years of experience using machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing and generative AI techniques with proven track record of end-to-end building and deploying advanced applications, including knowledge of model serialization and deserialization.
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Develop systems software for integration between deep learning packages (e.g. Tensorflow) and hardware accelerators. You’ll be working with deep learning scientists, as well as digital, analog, and photonic designers, to implement the features needed to accelerate the next generation of machine learning algorithms.
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Fluency in Python,PyTorch, Tensorflow, Pandas, numpy, and machine learning packages. Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work.
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Solid understanding of machine learning principles, deep learning architectures, and generative modeling techniques. Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified Machine Learning Specialty.
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Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow) Principal Machine Learning Engineer.
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Conoscenza base di algoritmi di Machine Learning, Deep Learning e Grafi di conoscenza applicati all’NLP e/o alla Computer Vision; conoscenza base del linguaggio Python e dello stack pytorch o tensorflow.
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Machine Learning (PyTorch, Tensorflow) Machine Learning (PyTorch, Tensorflow) The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.
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tensorflow machine learning jobs in Oklahoma City, OK
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