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In this role, the Machine Learning Engineer will work with a variety of data-driven technologies, including traditional and deep learning paradigms. Expert-level experience PyTorch, TensorFlow, or other major deep learning framework.
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8+ years experience working with machine learning models and deploying them into productionDegree in Computer Science, Electrical Engineering, Data Science, or other related computational fieldsExperience with NLP, computer vision, or deep learning frameworks such as Tensorflow, PyTorch, or HuggingFace, etc.
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Is a day camp located at historic Powisset Farm in Dover, MA. Powisset Farm is a 109-acre working CSA vegetable farm with a vibrant learning garden, barnyard animals, culinary program for all ages, scenic trails, engaging education programs, and deep history that make this a special place to visit and work.
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Sophisticated statistical and machine learning models such as hierarchical mixed bayesian models, transformer-based NLP models, reinforcement learning, deep learning models that span CNN/RNN/LSTM, GNNs, constrained optimization, innovative time series & forecasting models.
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Demonstrated expertise developing machine learning and deep learning applications for vision, text, signal processing, and control systems using MATLAB; and applying artificial intelligence or machine learning to application design along the software development life cycle (SDLC.
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2+ years of industry experience in supporting the development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning. Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, Transformers.
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Deep Learning Research: Stay at the forefront of deep learning research and methodologies, applying innovative techniques to address challenges in NLP tasks, such as named entity recognition, sentiment analysis, language translation, and more.
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VHB provides a differentiating employee experience, which includes: Diverse and inclusive culture of collaboration and innovation Opportunity to work on complex, transformational projects Community and social responsibility as sustainable stewards Focus on learning, development, and career growth Best-in-class benefits, including flexible, hybrid workplace We are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast.
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Engineers in this group typically have experience with deep learning, image analysis, machine vision, statistical learning, or signal processing. Proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
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Some of this experience needs to be with NLP and deep learning technologies. Quantization and Model Optimization : Implement advanced quantization techniques to optimize deep learning models for efficient deployment on resource-constrained environments, ensuring minimal loss in performance while reducing memory and computational demands.
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Specific use-cases will include life sciences (genomic sequencing, bioinformatics, drug discovery); engineering (CFD, geoseismic); natural sciences; deep learning; IoT, and commercial analytics.
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Utilizing methods such as statistical analysis, natural language understanding and optimization, and deep learning. Algorithmic Development : Research, experiment, and develop novel algorithms that push the boundaries of NLP tasks, incorporating techniques like attention mechanisms, transformer architectures, and reinforcement learning to achieve state-of-the-art results.
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Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Deep learning libraries: Tensorflow , PyTorch. Your contributions will span the entire research-to-production pipeline, encompassing the development of innovative deep learning architectures for speech enhancement and augmented hearing experiences, integration and optimization of acoustic and DSP frontends, and the deployment of models to production environments while ensuring robustness and scalability.
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Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition.
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deep learning jobs in Natick, MA
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