Machine Learning Engineer

Flux Global · Finland

About the role

About the Role

We are looking for a talented Machine Learning Engineer.

Requirements

- Swift - Svelte - Django - Snowflake - 6+ years experience - Remote-first mindset

Benefits

- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance

What You Will Do As a Machine Learning Engineer, you will be instrumental in developing and deploying cutting-edge machine learning models. Your responsibilities will include designing and implementing robust data pipelines within Snowflake, building and optimizing backend services using Django, and contributing to our client-facing applications with Svelte. You will also leverage your Swift expertise to integrate machine learning functionalities into our native mobile experiences, ensuring seamless performance and user satisfaction.

Why Join Us We offer a dynamic and collaborative remote environment where innovation thrives. You'll have the opportunity to work on challenging, impactful projects that push the boundaries of machine learning. Our team fosters continuous learning and professional growth, providing a supportive atmosphere to explore new technologies and refine your skills in Swift, Svelte, Django, and Snowflake. This part-time role offers flexibility while allowing you to contribute significantly to our ambitious goals.

Who You Are We are seeking a proactive and detail-oriented individual who is passionate about applied machine learning. You possess a proven ability to translate complex data science concepts into practical, production-ready code, with hands-on experience in Django for backend development and Svelte for front-end integration. Your proficiency with Snowflake for data warehousing and your understanding of Swift for mobile development will make you an invaluable asset, enabling you to efficiently contribute to diverse aspects of our technology stack.

Required skills

About Flux Global

Flux Global is a leading company in the construction tech space, building innovative solutions for global teams.

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