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Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). As a Machine Learning Engineer specializing in Google Cloud Platform (GCP), youll lead the charge in developing and deploying cutting-edge solutions that extract valuable insights and drive tangible business outcomes.
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Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit. Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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.
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Technical Skills or Knowledge:Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras. 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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2+ years – using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST) 3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
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Utilize TensorFlow, Python, and Kubernetes to create scalable and efficient machine learning solutions. As a leading HealthTech company based in Boston, our client develops innovative tools for programming living cells, combining mammalian synthetic biology, computer-aided design, and machine learning to improve the creation and production of biologics and gene therapies.
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Strong background in deep learning theory and techniques, with hands-on experience in developing and training neural networks using frameworks such as PyTorch, JAX or TensorFlow. We are seeking a Deep Learning Research Scientist who is passionate about expanding the limits of deep learning capabilities.
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The ideal candidate will have a wide breadth of expertise in data science with special emphasis on predictive modeling and forecasting as well as proficiency in Python, SQL, TensorFlow, and experience using platforms such as Google Vertex AI and NVIDIA NeMo. Experience in data preprocessing using tools like Alteryx and Google Dataflow is also essential.
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Applied Research Associates, Inc. (ARA) is seeking a driven and talented Machine Learning Engineer to conduct research and provide project support in the design, development, scaling, and deployment of physics-informed machine learning models for advanced and complex systems spanning the fields of electromagnetics, fluid dynamics, signal processing, and more.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Deep experience and knowledge with Google Cloud Platform, Cloud Dataflow, Airflow, GKE, Pub/Sub, BigQuery, vertex AI, and Dataproc/Spark. The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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Knowledge of Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image Transformers etc) with PyTorch or Tensorflow.
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