About Us:
We're a team of physicians, healthcare executives, data scientists and Tech experts committed to empowering anyone, anywhere with the insights they need to make well-informed, healthcare decisions. Through the combined power of AI and big data, we have created the first all-in-one solution that provides our users with everything they need to know about medical professionals and facilities. RYTE transforms the comprehensive data we collect on millions of healthcare providers and medical experts worldwide into knowledge that helps individuals and organizations navigate healthcare systems. Headquartered in Toronto (Canada) and having operations in Canada, France, Kazakhstan, and Philippines, you will join a truly international, multi-cultural, and dynamic workforce driven toward building something unique and that affects Life and Healthcare on a global scale. For more information about Us, please connect with us at www.ryte.ai.
We are looking for a ML Engineer who is passionate about technologies and automation, ready to roll up your sleeves to tackle complex technological challenges. Your role is to build and support cloud based MLOps that enables data scientists and IT teams to collaborate and increase the pace of model development and deployment via automation and monitoring at all steps of ML system construction, including integration, testing, releasing, deployment, infrastructure management and governance of machine learning models to deliver a unique Health Application Solution. This is a full-time position, working at the Astana office in Kazakhstan. No remote work for this position. You will be working full time for the Ryte team under the supervision of the Ryte team lead.
This is a hands-on IT infrastructure position in a dynamic and fast-paced environment. With your technical expertise you will participate in the architecture design and technical implementation of the MLOps framework across multiple projects as well as the larger DevOps strategy of the organization, that aligns with SaaS driven as well as big data analytics powered and artificial intelligence-based business strategy. You will design, develop, test, deploy, maintain, and enhance continuous integration (CI), continuous delivery (CD), and continuous training (CT) pipelines for machine learning (ML) systems.
Primary Responsibilities:
Requirements
Job Experience Requirements: