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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models.
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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Grainger Applied Machine Learning spans across Recommender Systems, Generative AI, Optimization and Simulation, NLP, and other Machine Learning / Deep Learning-based applications.
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Sr Data Scientist (Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github) in Philadelphia, PA. Data Scientist, Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github.
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Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
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We work closely with startups and large companies leading the way in machine learning, hardware acceleration, quantum computing, photonics, and bio tech in Boston, New York, and around the USA, to build teams that will change the technology landscape.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Data science, machine learning, optimization models, Master’s degree 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) Primary Location.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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Proven experience as a machine learning engineer or similar role. Strong programming skills with proven experience implementing Python-based machine learning solutions. Collaborate with research and product development teams to build machine learning products.
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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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machine learning jobs Title: learning architect Company: Iqvia
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