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Datagrok is a US-based product startup developing a next-generation web-based integrated data analytics platform that provides a unified experience for data access, data augmentation, exploratory data analysis, advanced visualizations, scientific computations, machine learning, security, governance, and collaboration.
21 липня 2020

Software Engineer (вакансія неактивна)

віддалено

Необхідні навички

Datagrok is looking for an outstanding, passionate software engineer enthusiastic about data flows, ops and system integration in data science to join our strong team of data scientists and software engineers, and help us build the revolutionary product that spans across multiple business domains.

Qualifications

• Good Python skills (knowledge of JavaScript / Java / C++ / other languages is a plus)
• REST API (OpenAPI / Swagger, data formats, etc)
• Cloud platforms management and best practices (AWS, Docker, Kubernetes) is a big plus
• Experience working with RDBMS, SQL
• Basic understanding of ML algorithms is a plus
• Experience working with one or more of the ML frameworks (seldon.io, H2O, SageMaker, MLFlow, KubeFlow, MLlib, Azure ML Studio, Torch, Keras, TensorFlow, etc) is a plus
• Experience in web development, including UI and UX, is a plus
• Scientific experience is a plus
• Ability to effectively communicate technical work to a wide audience is required

Обов’язки

You will:
• Collaborate with cross-functional teams (customers, internal IT teams, etc) to understand business needs, ensure data integrity and flow efficiency, and to create solutions for integrating customer’s data with the Datagrok platform
• Design, implement, and operate data management systems
• Develop high-performance, production code

Про проєкт

Datagrok’s mission is to help people understand their data. In order to do that, we are building a next-generation data analytics platform that allows people to connect to any dataset, interactively visualize up to 10 million rows in the browser, and leverage artificial intelligence techniques to derive actionable insights from it. The platform is extremely flexible and could be extended in different ways, including visualizations, data pipelines, predictive models, R/Python scripts, and even applications built on top of it.

datagrok.ai

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