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Our current focus is on developing cutting-edge bioinformatics and machine learning algorithms to enable the discovery of novel biomarkers and translate them into clinical diagnostic applications.
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Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.
$170,000 - $250,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation.
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This role combines the expertise of a data scientist with the responsibility of overseeing and optimizing our Enterprise Resource Planning (ERP) system in strong coordination with the Group IT. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, coupled with hands-on experience in managing business processes (Offer to Cash -OTC) within the ERP systems.
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You will join a team of 3-5 developers to implement and test solutions in the areas of networking and machine learning for mixed wireless and wired networks, with the goal of CI/CD (continuous integration/continuous development), integration and testing, and with time you will take on lead roles and interface with customers.
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1+ year(s) of hands-on experience in data analysis, machine learning, and deep learning frameworks. We are seeking a candidate with a keen sense of natural curiosity who will play a crucial role in enhancing clinical care delivery and driving innovation through the application of machine learning and data science.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
$135,200 - $250,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A solid foundation in NLP/ML-related algorithms, with comprehensive study and practical experience in specific areas of natural language processing and machine learning. Demonstrated hands-on abilities, proficiency in at least one framework such as TensorFlow or PyTorch, including its training and deployment specifics.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., 2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment.
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We are seeking a skilled and experienced Data Scientist with a hands-on approach, excellent communication skills, and a knack for exploring data to devise innovative solutions. Familiarity with cloud platforms, particularly Azure services such as Azure Machine Learning, Azure Databricks, Azure Data Factory, or Azure Synapse Analytics.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Data science, modeling, machine learning, artificial intelligence Knowledge of protein biochemistry, biophysics, conjugation techniques Vector construction, Genetic Engineering, and Systems Biology Knowledge of cell-line development for protein expression in mammalian systems and suspension cell culture High throughput experimentation using automation platforms.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Minimum of 5 years of software development experience in optimization/network modeling/machine learning/AI with emphasis on algorithm/heuristic implementation. Drawing on nearly four centuries of collective success across the vibrant portfolios of Wabtec, GE Transportation and Faiveley Transport, we offer employees hands-on opportunities all over the world to shape the future of transportation – as well as their own.
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