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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$86,900 - $233,010 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Proficiency in statistical and machine learning models using Python. Engage in continuous learning to stay abreast of the latest developments in mobile health technology, data science, and machine learning.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
RemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Mastery in Python, deep learning frameworks such as Tensorflow, PyTorch, and Keras, machine learning packages such as SciPy and Scikit Learn, and image processing packages such as OpenCV.Skills in strategic thinking, problem-solving, logical reasoning, and time management.
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Trains/deploys models using tools such as Python, SAS, R, Cloudera, Databricks, or other common machine learning platforms/languages/frameworks to solve business problems. Applies core data science techniques such as machine learning, statistical learning, data mining, data wrangling, data discovery, model training/testing, and model deployment/monitoring to solve DLA business problems.
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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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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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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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Architect, design and develop advanced AI models forLLM application, focusing on natural language understanding (NLU), natural language processing (NLP), and machine learning. Experience with Azure Machine Learning or AI Stack (e.g., Azure Client Studio, Azure AI Studio.
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Key Skills: BS or Master or PhD in Computer Science or Machine Learning, Python, PyTorch, Huggy Face, AWS, Kubernetes, Docker, Git, CI/CD, Sagemaker, Mlflow, Databricks, Snowflake, Redshift, ETL Pipelines, Scala, Apache Airflow, Apache Spark, Data Lakes.
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Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry.
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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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Proficiency in programming languages such as Python, Java, or Node.js, and experience with machine learning frameworks like PyTorch and TensorFlow. We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs.
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We are looking for a Lead Machine Learning Engineer who will lead the effort to apply Natural Language Understanding and Processing (NLUP) in Healthcare Technology space. The primary mission of the team continuously ships pragmatic solutions utilizing applied Artificial Intelligence and Machine Learning that deliver value for our Medical Professionals users.
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Large scale machine learning & deep learning models. Machine Learning, Statistics, Personalization and Item Recommendation algorithms. Design, implement and own the state of the art Machine Learning approaches including.
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