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Experience of Python Programming/ Data Science / Machine Learning experienceAI Integration: Collaborate with the development team to integrate AI and machine learning algorithms into a graphics design tool.
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Essential qualifications include expertise in Python, TensorFlow, SQL, and other relevant technologies, alongside certifications in Machine Learning, Deep Learning, and Artificial Intelligence.
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Coursework or specialization in artificial intelligence, machine learning, data science, or computer vision. Experience with deep learning frameworks like TensorFlow or PyTorch.
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The position of Data Scientist will attend to all stages of data science projects utilizing technologies and tools such as Deep Learning, Traditional Machine Learning, and advanced analytical tools.
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The position requires a deep understanding of computational linguistics, image processing, and Python programming. The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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Demonstrated hands-on experience in Python, Javascript, and R.Demonstrated hands-on experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). A minimum of a bachelor's degree in Computer Science, Engineering, or a related field; a masters degree or PhD is preferred.
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Proficient in Deep Learning: CV models, other data models (TensorFlow, Ansile). Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools.
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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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Expertise in programming languages such as Python, JavaScript, and familiarity with frameworks like React or Angular. Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
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Nice to have:o Deeper expertise in statistics, linear algebra, numerical uncertaintyo Experience with Mensuration Services Program (MSP) or other mensuration toolso Experience building data science tools in Python using popular libraries like numpy, scipy, pandas.
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11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep LearningManager, Data Scientist, Fraud. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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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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Proven experience in integrating machine learning models into scalable production environments. Stay ahead of the curve in the latest developments in AI, machine learning, and software development practices.
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Are you a Backend Developer with a knack for data science and a passion for digging deep into data to uncover insights? In this role, you’ll be the bridge between backend development and data science, utilizing your Python skills to build robust systems and your expertise in statistics and A/B testing methodologies to derive actionable insights.
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