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、Azure、Google Cloudプラットフォーム、TensorFlow、R、PythonなどのAIプラットフォームに精通
、Azure、Google Cloudプラットフォーム、TensorFlow、R、PythonなどのAIプラットフォームに精通
クラウドベースのデータサイエンス、機械学習サービス、およびAPI(Microsoft Azure)に精通
Responsibilities
Your primary focus will be in applying the cutting-edge technologies in artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and blockchain to build high quantity solutions integrated with our products.
You will be expected to team on a national and even global scale, communicate results and ideas to key decision makers. So strong communication skills, attention to detail, and ability to effectively drive results are essential.
Requirements and Qualifications
Bachelor’s Degree or above in Computer Science, Statistics, Applied Math or related field
Solid understanding of machine learning, statistical analysis and predictive modeling
●Demonstrable history of devising and overseeing data-centered projects.
●A business mindset
Be familiar with AI platforms such as AWS, Azure, Google Cloud platform, TensorFlow, R, Python
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
●Advanced degree in Computer Science, Statistics, Applied Math or related field
●Extensive experience in data mining, statistical analysis and machine learning
●Excellent pattern recognition and predictive modeling skills
●Excellent coding experience with programming languages such as Python/R/Solidity
●Outstanding supervision and mentorship abilities.
●Ability to work independently and manage multiple task assignments.
●Doctor’s Degree in Computer Science, Statistics, Applied Math or related field with outstanding research output
●Experience in conceive, plan and prioritize data projects
●Knowledge in Blockchain technology, encryption, or distributed peer-to-peer systems
●Proficient in writing algorithms, creating machine learning models
●Expertise in solving business problems using ML/NLP/Text analytics solutions
●Knowledge of Deep Neural Networks and hands-on experience of frameworks such as Tensorflow, Keras, Chainer, or similar frameworks.
●Experience with iterative, test-driven development.
●Experience with configuration management (SVN, GIT, ant, maven, etc.).
●Able to understand various data structures and common methods in data transformation.
Excellent understanding of statistics, multi-variable calculus and linear algebra.
●Experience in using data visualization tools, data querying languages, and statistical or mathematical software, such as Alteryx or similar.●Familiarity with cloud-based data science and machine learning services and APIs (e.g. Microsoft Azure, SAP)
●Experience in developing Blockchain, Chatbot, OCR, RPA solutions
●Strong coding experience preferably in Python, R or Solidity
Automating and integrating processes
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