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Experience working with TensorFlow, Python, C. As an Artificial Intelligence Machine Learning Engineer on this DoD contract, you will provide technical assistance for identifying opportunities, in cooperation with agency-wide efforts, to address unique mission challenges with AI solutions incorporating machine learning (ML), neural networks, intelligent process design and Robotic Process Automation (RPA.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, ITProject work on the technologies neededExperience in programming language Java and understanding of the software development life cycleKnowledge of Statistics, SAS, Python, Computer Vision, data visualization toolsNLP, Text mining, Tableau, PowerBI, SAS, Tensorflow.
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Senior Machine Learning Engineer (Python) At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply.
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Experience with Open Source (Python, Tensorflow, notebooks) and 3rd Party Open Source SW suites such as Black Duck or Palamida. Technical background with machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, Tensorflow or Pytorch.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use programming languages like Python, Scala, or Java. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
Part-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client techniques.
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You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
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Knowledge and experience of deep learning architectures with high level of experience and capabilities with Python and R, with strong skills in Python Numpy, Pandas, and keras (tensorflow or pytorch is a plus.
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Proficiency in programming languages such as Python, TensorFlow , and/or PyTorch for model development and evaluation. Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Vertex AI, Workflows, and Dataflow.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Expertise in common Geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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Expert in Python, including experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or Keras. The Center for Data Science and Artificial Intelligence (CDSAi) is an innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which aims to design, create and offer innovative data-driven solutions for many parts of the enterprise.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with machine learning framework such as Torch, TensorFlow, Apache Spark MLib or Amazon Machine Learning. Working knowledge of software development languages used in data analysis such as Python, R, Scala, Java or C.
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