Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates must have experience building machine learning models in production from idea to delivery and a strong understanding of data sanitization and analysis. Experience with AWS, PostgreSQL, Typescript, Python, VueJS, Swift, Kotlin, or Java is required, along with the ability to lead technically complex projects and work independently in new environments. Experience with production-grade compilers, operating systems, or large distributed systems is also beneficial.
The Machine Learning Engineer will be responsible for building and maintaining production models, including targeting, risk, pricing, and product relevance models, as well as models for automating back-office tasks. This role involves designing system architecture, conducting design and code reviews, building infrastructure for iterative model updates, monitoring for data distribution shifts, and becoming an expert in the product space to identify new opportunities from data and models.
Web-based solutions with security focus
Aven provides web-based solutions with a strong focus on security and data protection. The company utilizes JavaScript technology to enhance the functionality of its platform, which suggests that it offers interactive and dynamic web services. Aven also employs Cloudflare's challenge-platform, indicating a commitment to safeguarding its website from malicious traffic and ensuring the security of its users' data. Unlike many competitors, Aven's emphasis on security may attract clients who prioritize data protection in their online activities. The goal of Aven is likely to deliver reliable and secure web solutions that meet the needs of its users.