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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Knowledge of programming and machine learning tools including Python, SciPy/NumPy/Pandas, TensorFlow, Git and cloud computing platforms.
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Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas) Senior Machine Learning Engineer AtanAI Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning.
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Programming Skills: Proficiency in programming languages like Python, R, or similar, along with experience in using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
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MainStreet is looking for a Machine Learning Engineer who will play a pivotal role in designing, developing, and implementing machine learning models and algorithms that power our groundbreaking product.
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Proficiency in programming languages like Python, R, or similar, along with experience in using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of linear algebra, calculus, probability, and statistics, coupled with the ability to apply these principles to machine learning problems.
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Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or Keras. 5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
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Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)Experience with robotics: arms, RGBD cameras, force sensors, etcExperience deploying machine learning models and/or systems in productionExperience working in startups/startup-like environment.
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Experience with machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, Scikit-Learn, Knowledge of cloud computing platforms such as AWS, Azure, Google Cloud.
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Strong knowledge of machine learning algorithms and principles, as well as experience with ML frameworks like TensorFlow, PyTorch, or Keras. 5+ years of experience in applying and deploying ML models, especially in the domains of computer vision, 3D asset generation, or 3D animation generation, or a robust portfolio of projects that demonstrate your expertise in machine learning applied to 3D graphics, animation, motion capture, and/or computer vision.
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The Difference You Will Make:As a senior machine learning engineer, your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to define and shape the future of the Airbnb Community Support experience.
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Data science, machine learning, optimization models, Master's degree 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.
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Deep Learning understanding - both in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.
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Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras. As a Staff Machine Learning Engineer you will take the lead on building new or updating data driven product features.
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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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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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machine learning tensorflow jobs in San Francisco, CA
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