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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear, predictive analytics (e.g. deep learning, econometrics, time series/forecasting, vehicle routing, and related skills.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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Strong knowledge of data science tools, ML frameworks and algorithms, and programming languages such as Python, R, SQL, and experience with cloud platforms (AWS and/or Azure) We are seeking a seasoned Data Scientist with deep LLM experience who will play a critical role in developing advanced predictive models and generative AI applications in order to transform the healthcare consumer experience and drive improved health outcomes.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Deep Learning Data Science Manager. 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Familiarity with Deep Learning frameworks such as Pytorch, Keras, Tensorflow. Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regressing, recommender systems, clustering, deep learning.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Preferred Skillset ¬タᄁ Knowledge of Big Data Architectures and Cloud computing ¬タᄁ Knowledge of machine-learning techniques, classifiers and statistical methods ¬タᄁ Exceptional intelligence and problem-solving skills ¬タᄁ Excellent communication skills.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. You'll collaborate with business leaders, scientists, and engineers to incorporate sustainability domain nuances when creating data foundations, developing AI models/applications, and applying techniques like data indexing, validation metrics, model distillation, and customized loss functions.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Helped build machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago
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