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The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.
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This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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We are looking for a Senior Data Scientist to lead the development and improvement of cutting-edge machine learning and deep learning models powering Walmart Customer Modeling.
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Mastery in Python, deep learning frameworks such as Tensorflow, PyTorch, and Keras, machine learning packages such as SciPy and Scikit Learn, and image processing packages such as OpenCV.
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Minimum of 3 years of experience working with deep learning models using real-life (“industry”) data. Excellent proficiency in Python programming and one or more deep learning libraries (PyTorch, TensorFlow, JAX, etc.
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The hire will have opportunities for interdisciplinary collaboration via broad research initiatives and centers, including the Center for Deep Learning , Center for Engineering and Health , Optimization and Statistical Learning in IEMS, and Center for Engineering Sustainability and Resilience , Institute for Data, Econometrics, Algorithms, and Learning , Institute on Complex Systems , Transportation Center in the McCormick School of Engineering.
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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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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Clean, preprocess, and transform raw data into a suitable format for machine learning models.
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Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning. Data Governance: Implement and uphold robust data governance policies and procedures to ensure the secure and ethical use of internal company data and imagery for machine learning initiatives while adhering to privacy regulations and industry best practices.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Geospatial Analytics and Machine Leaning: You have demonstrated understanding of machine learning/deep learning frameworks, statistical concepts, and geo-statistics and spatial data analysis.
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Be and expert in Python, SQL, machine learning algorithms, and know about data integration, modeling and be well-versed in versed in good UI design. Some familiarity with Deep learning frameworks like PyTorch, TensorFlow.
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Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
ExpandApply NowActive JobUpdated 16 days ago
data center deep learning jobs Title: engineer Company: Nvidia
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