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3+ years of experience with Python and at least one deep-learning software library (e.g., PyTorch, Caffe2, TensorFlow), including formulation, training, and evaluation of new algorithms and writing reusable modules.
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Primary responsibilities include developing windows solutions, including deep diving into troubleshooting/debugging internally developed code (written in Golang, and Python). Software: Golang and Python.
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We are looking for someone with 5+ years of engineering experience in Site Reliability / Trading Systems Engineering, preferably who has worked in the buy-side, and a deep and comprehensive understanding of Linux / Unix and Python / C.
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Design scalable AI and machine learning models, including natural language processing, predictive modeling, and deep learning. - Strong programming skills in Python, Java, or other relevant languages.
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Your deep knowledge of renewable energy, weather/climate modeling, and statistical/machine learning will be the driving force behind your success in this role. · Expertise in Python and its related libraries, such as Tensorflow, Keras, Pytorch, OpenAI Gym.
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Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients’ businesses forward.
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Strong scripting skills in PowerShell, Python, Bash, or similar languages for pipeline automation. We are looking for someone with a deep software engineering background and an engineering mindset, not just someone who has learned basic coding but started with manual DevOps tasks.
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Gain insights into diverse industries and work on challenging problems spanning Deep Learning, Computer Vision, Natural Language Processing, Time Series Analysis, and Recommender Systems. As a Data Scientist in Residence you will be joining our 6-month Residency in which you'll dive deep into several industry projects, collaborating with a team of professionals and working on challenging projects coming from Apziva’s industry partners across different industries including Finance, Logistics, Education, Hardware, Retail, and Human Resources.
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Experience with Python, C or Go Lang (min. Experience working with Windows Registry, Event Tracking for Windows (ETW), and Windows Event Login. Knowledge of Windows Kernel Expertise, UNIX/LINUX.
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Write code (in Python, R, Scala, SQL, etc.) Solve real-world problems by obtaining and analyzing large amounts of data, diving deep to identify business insights and opportunities; design simulations and experiments; develop statistical and machine learning models tailored to business needs; and collaborate with scientists, engineers, business intelligence engineers, and product managers.
$212,800 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI. Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction.
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Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Relevant certifications in AWS, Google, Azure, and enterprise architecture (e.g., AWS Certified Solutions Architect Associate, Azure Fundamentals, Azure Data Fundamentals, TOGAF.
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Experience and/or coursework in deep learning and natural language processing. BS or MS in Data Science, Machine Learning, Statistics, or related STEM field Proficiency in Python. Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.
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Mastery of programming languages, e.g., Python, TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP), enabling seamless translation of research into production-grade systems. Profound expertise in machine learning, deep learning, and natural language processing, coupled with hands-on experience in developing and deploying state-of-the-art models at scale.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Exposure and interest in programming and visualization tools (Python, Visual Basic, Rhino, Leapfrog, etc.) Carry-out shallow and deep foundation design, slope stability calculations, and seismic assessments.
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