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Preferred Experience: Experience with common open-source scientific computing/machine learning libraries (e.g., PyTorch / TensorFlow), containerization, and cloud-native technologies (Docker & Kubernetes) is preferred.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Proficiency in Python, complemented by experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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3+ years of experience with TensorFlow, PyTorch or other deep learning technologies. As part of the Data Analytics team, the Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Tool Familiarity : Experience with tools and frameworks popular in the LLM and NLP communities, such as LangChain , LlamaIndex , PyTorch , and TensorFlow. Tool Familiarity : Experience with tools and frameworks popular in the LLM and NLP communities, such as LangChain , LlamaIndex , PyTorch , and TensorFlow.
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Comprehensive understanding of machine learning with practical experience in frameworks like TensorFlow or scikit-learn. Role: DevSecOps Engineer Experience: 6+ years Location: Houston, TX Duration: 12+ Months Responsibilities: Forge partnerships with software development teams to weave security into the Continuous Integration/Continuous Deployment (CI/CD) pipeline.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Bank of America, Visa, Walmart Labs etc to name a few.
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Proficient in programming languages such as Python, R, Scala, or Java, and familiar with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proficient in programming languages such as Python, R, Scala, or Java, and familiar with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn.
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Experience with at least one machine learning framework, e.g. JAX, PyTorch, TensorFlow. Experience with at least one machine learning framework, e.g. JAX, PyTorch, TensorFlow. Prior experience in MLIR, XLA, JAX, LLVM, and CUDA.
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tensorflow job in Houston, TX
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