In All Media
1001 - 5000 employees
âïž SaaS
đą Enterprise
đ€ B2B
SaaS âą Enterprise âą B2B
In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.
Data Scientist
đ February 28
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In All Media
1001 - 5000 employees
âïž SaaS
đą Enterprise
đ€ B2B
SaaS âą Enterprise âą B2B
In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.
đ Description
âą Design, build, and maintain scalable data solutions using Python and SQL âą Develop and integrate machine learning and computer vision models within Azure âą Connect and consume external and internal systems through APIs âą Collaborate with cross functional stakeholders to translate sales needs into data products âą Ensure production readiness, performance, and maintainability of data workflows âą Operate independently across milestone driven and exploratory initiatives
đŻ Requirements
âą 5 plus years of professional experience in Data Engineering or related roles âą Strong proficiency in Python and advanced SQL âą Hands on experience working within Microsoft Azure environments âą Solid understanding of core Data Science and Machine Learning principles âą Practical, production level experience with Computer Vision âą Experience designing and consuming APIs âą Must achieve 70 percent or higher on the Sr. Data Engineer Python Short technical assessment
đïž Benefits
âą Health insurance âą Flexible work arrangements âą Professional development opportunities
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