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Deep understanding of drilling concepts including: well control, BHA and bit design, drilling fluid design, hydraulics, hole cleaning, torque and drag, managing loss circulation, identifying and mitigating drilling dysfunctions, stuck pipe prevention.
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Our ventures encompass a broad spectrum of new technologies in the realms of Artificial Intelligence (AI), Machine Learning, Computer Vision, Natural Language Processing (NLP) and Large Language Models (LLMs), providing a rich ground to transition ideas from conception to real-world applications.
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You should have experience working with Typescript (or Javascript), as well as a strong understanding of fullstack development; ideally you have a good eye for design/UI/UX and are also interested in working with AI and machine learning technologies, as well as data analysis and visualization in general.
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Keywords: Java, IoT, postquantum cryptography, AWS, smart grids, home office, remote options, Spring Boot, Spring Cloud, Spring Security, test automation, TDD, Microservices, API’s, Docker, Kubernetes, Machine Learning, AI, KMS, KPI.
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Java Entwickler - Kubernetes, Machine Learning, FinTech - Berlin - €85,000. Keywords: Java, Spring Boot, software development, engineering, Golang, GIT, quant, RegTech, FinTech, valuations, risk estimates, derivatives, Microservices, complex distributed systems, Google Cloud, GRPC, Kubernetes, Bazel, Open Telemetry.
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Konzeption und Entwicklung von skalierbaren, datengetriebenen Lösungen und Architekturen, speziell im Bereich Big Data und Machine Learning mithilfe von Azure Databricks. Fundiertes Wissen in der Entwicklung von Big Data - und Machine Learning -Lösungen.
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Our expertise covers robotics (USV, AUV and ROV), high-tech sensor technology, artificial intelligence, advanced computer science, communication technology and positioning. Study of computer science or comparable course of study.
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Knowledge of open-source technologies such as Docker, Kubernetes, and Elasticsearch. Degree in computer science, informatics, or a related field. Implement customer solutions using frameworks and open-source components while maintaining clear structures.
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We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.
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At University, you studied Computer Science, Business Informatics, or a similar field. Utilise skills from all the areas of data, including; data science, data analytics, data engineering, and analytics engineering.
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Bachelor’s or Master’s degree in Engineering, Physics, Atmospheric Science, Mathematics, or a related field. Our holistic approach includes integrated wind, photovoltaic (PV), and electrolysis plants, as well as grid infrastructure to support a livable planet.
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Idealerweise untermalen Zertifizierungen in relevanten Bereichen wie Data Science, Machine Learning oder Cloud-Plattformen (z. Weiterhin überwachen Sie die Auswahl, Implementierung und Verwaltung von BI-Lösungen und -Tools, die die Analysefähigkeiten stärken, einschließlich Data Lakes, Data Warehousing und Machine-Learning-Anwendungen.
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University degree or equivalent qualification in computer science, physics, mathematics, electrical engineering or related technical discipline, ideally with a PhD. Experience in image related industries, for example medical image processing, biological image processing, machine vision, robotics or automotive.
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Mars Science & Diagnostics is a division of Mars Petcare, a diverse business dedicated to one purpose: A Better World for Pets™. Science & Diagnostics brings together the power of leading pet health science with expertise across diagnostics, data, and technology to change outcomes in pet health.
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We source and screen finance systems professionals on a global basis. Collaborate with leading industry experts, gaining access to continuous learning and professional development opportunities.
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