Job Detail
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Job ID 16842
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Công ty INAPPS TECHNOLOGY
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Địa điểm Anywhere
Job Description
Job Description
InApps is one of the leading software development and outsourcing companies in Vietnam in the field of mobile apps. Our passion for technology as well as the desire to bring customers the best service experience has led us to constantly strive to improve services and solutions for customers. We understand that technology will be one of the most effective levers to promote business development.
Markets: USA, EU, Australia, Singapore, and Vietnam
We are looking for Senior Backend Engineer/ Backend Lead for our projects
Markets: USA, EU, Australia, Singapore, and Vietnam
We are looking for Senior Backend Engineer/ Backend Lead for our projects
Job Requirement
– Needs to be fluent in English and have very good communication & documentation skills
– Can organize/manage/collaborate with people (both tech & non-tech) very well.
– Background in Software Engineering/Full Stack Dev (must have skills – NodeJS & Python hands on experience) with relevant MLOps expertise.
– Must have knowledge & experience across wide range of AWS Services, System Design, Infrastructure as code, kubernetes, Devops & CI/CD
– Experience with Web Scraping & Data Analytics as well as in-depth knowledge of recommendation systems.
– Has hands-on experience of design, development, maintenance and scaling ML infrastructure and knowledge of existing MLOps best-practices.
– Familiar with Generative AI, LLM, Vector Databases, Model Fine-tuning etc.
– Can organize/manage/collaborate with people (both tech & non-tech) very well.
– Background in Software Engineering/Full Stack Dev (must have skills – NodeJS & Python hands on experience) with relevant MLOps expertise.
– Must have knowledge & experience across wide range of AWS Services, System Design, Infrastructure as code, kubernetes, Devops & CI/CD
– Experience with Web Scraping & Data Analytics as well as in-depth knowledge of recommendation systems.
– Has hands-on experience of design, development, maintenance and scaling ML infrastructure and knowledge of existing MLOps best-practices.
– Familiar with Generative AI, LLM, Vector Databases, Model Fine-tuning etc.