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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Two (2) years of experience must include: Java; J2EE; JMS; SOA; OOAD; OOP; Eclipse IDE, IntelliJ; Server-side application frameworks, including JSP, Servlet, Struts and Spring, Springboot; ORMs, including Hibernate; Restful and SOAP-based web services, including JSON and XML; SolR search, ElasticSearch; Apache Kafka; Unit testing frameworks, including Junit and Jest; Logging utility - Log4J; Jenkins; and SQL Data Store – Oracle.
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Partner with product managers and engineers to prototype cutting-edge technologies such as machine learning and test them with production data. This Principal Engineer will need to have strong Java, Python, Data Structures and algorithms experience and be hands-on, as well as have some packaged software design and implementation experience.
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In-depth knowledge of Cloud Databases, Data Warehousing, Analytics, Machine Learning, Developer Tools, and Security & Identity Management. Net, or Java, AWS Solution Architect Associate certification.
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Experience with data science and machine learning frameworks. Strong core Java programming skills (multithreading, asynchronous programming) Position 1: Java Developer. Experience with data science and machine learning frameworks.
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Technical skills should include: Python, Java, Linux, Machine Learning tools, Angular, Kubernetes, Kafka, MS SQL Server,. Machine Learning and Java experience is a must.
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Domain(IBPO)|Analytics- Data science|Statistical Tools, Technology|Artificial Intelligence|Artificial Intelligence - ALL, Technology|Data Science|Machine Learning. They will define end to end architecture of Data Science and machine learning project along with being the technology architect.
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Hands-on experience with programming languages such as Python or Java, including familiarity with deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, and Spacy.
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Infosys is seeking an Associate Data Scientist with Machine Learning (ML), AI and Python experience. At least 1 years of hands-on data science with machine learning. Ideal candidate is expected to have prior experience in end-to-end implementation of Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Experience with Python/Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy.
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Innovation and Prototyping : Ability to work closely with product managers and engineers to prototype innovative technologies like machine learning and test them using production data. Work closely with product managers and engineers to prototype innovative technologies like machine learning and test them using production data.
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Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing. Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc.
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Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling.
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We leverage technology in completely new ways to construct fully automated financial platforms that live in the cloud and take advantage of the latest machine learning, mobile, IoT and advanced capabilities.
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Proficiency in machine learning and deep learning frameworks like TensorFlow, PyTorch, or Keras. - Build and maintain scalable machine learning pipelines. - Strong programming skills in languages such as Python, R, or Java.
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8+ years hands-on experience in Java programming. A Principal Engineer is a hands-on subject matter expert who is responsible for the overall software design of many components within a system and can lead the technical implementation of multiple initiatives.
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