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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.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch.
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5-7 years experience across deep learning frameworks like Keras, TensorFlow or PyTorch and machine learning packages (sklearn, etc.) The Senior Machine Learning Engineer will participate in research and development efforts aimed at solving problems in analyzing large-scale clinical data with a mission of improving human health.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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Experience optimizing the model training process for deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. As a Senior Machine Learning Engineer, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing.
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Machine Learning | Infrastructure | AI | Python | SQL | Software Engineering| Deep Learning | Pytorch | Tensorflow. As a Machine Learning Engineer, you can expect to earn anywhere from $140,000 -150,000 (depending on experience) and highly competitive benefits including equity.
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Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas). 6+ years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
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Strong programming skills in Python with extensive experience with the scientific and deep-learning stack (numpy, pandas, numba, torch, tensorflow, jupyter). Own and lead the end-to-end machine learning experimentation process, including prioritization of projects, data strategy formulation, architectural design, and model training to drive innovative solutions and business impact.
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Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models. Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning.
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Proficiency with deep learning tools and at least one machine learning tool, such as Hadoop, Apache Spark, TensorFlow, scikit-learn, or cloud-provider equivalents. Proven ability to work with at least one machine learning tool like Hadoop, Apache Spark, TensorFlow, or scikit-learn, or cloud-provider equivalents.
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Responsibilities and Contributions Organizational and Leadership Role Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills.
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