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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
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Experience with open source vision and machine learning tools such as CUDA, Caffe, fastText, OpenCV, Parsey McParseface, SciKit, Torch, Tessaract, TensorFlow, Theano a plus. Intermediate or expert in one or more of image processing algorithms, machine learning, data mining, pattern matching and parallel processing using high performance computing paradigms such as GPGPU. Able to extend and improve existing algorithms to improve facial, speech, vision and gesture recognition technologies for better accuracy, robustness and ease of use.
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Big data/machine learning and AI techniques, including neural network and deep learning frameworks and machine learning tools (e.g., TensorFlow, Theano, Torch, Keras.
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Deep understanding of machine learning, deep machine learning, artificial intelligence, and natural language processing. This is a full-time, permanent position with a hybrid work model based in New York. We are at the cutting edge of the technology industry, using advanced AI, deep machine learning, and natural language processing to revolutionize the financial sector.
$275,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Research application of machine learning, deep learning and quantum computing inspired methods in interest rate cash and derivative pricing and hedging. Statistics, probability based calculations, and stochastic calculus; Data analysis, times series analysis and machine learning skills; Fixed income market data and fixed income financial product knowledge; Investment and quantitative methods; Risk management, portfolio optimization and strategy research.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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The candidate will be working with the following state of art technologies; Solr, Lucene, Natural Language Processing, Machine Learning, Linux, Groovy, Python, Splunk, Prometheus, Grafana, DevSecOps, Jenkins, Maven, Gitlab, Nexus, Ansible, TDD, BDD, JMeter, Selenium, and other open source frameworks.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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As a Lead Machine Learning Engineer, you will have the opportunity to lead a team of machine learning engineers and an exploratory data analyst, using your technical expertise in machine learning and deep learning, as well as your excellent leadership, communication, and team management skills, to guide and support your team as they work on a variety of projects and applications.
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Skills Required: Requires experience in the following: Natural Language Processing (NLP) in a commercial environment; programming expertise in Python; Agile development paradigm; machine learning APIs and computational packages including Scikit-Learn, NumPy, SciPy, and Pandas; neural network packages such as PyTorch or TensorFlow; and development in Amazon Web Services (AWS) environments.
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Is required (test required)Algorithmic trading experience is required (essential), whether personal or professional experience Desirable Skills: Prior experience as a Quantitative Trader/ ResearcherExperience with Machine Learning, Natural Language Processing or Deep LearningKnowledge of the DeFi and Web 3.0 ecosystem.
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machine learning jobs Title: principal Company: Boeing in New York, NY
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