Senior Python Engineer

3 мес. назад

NetherlandsEuropeSeniorHybrid

python

Senior Python Engineer building production-ready systems to support product at .

About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software . You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone . Our cross-platform presence spans Web , iOS , Android , Windows , and MacOS , ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals.

Design, build, and maintain scalable services that support the AI lifecycle, working closely with the research team to translate cutting-edge ideas into production-ready solutions
Develop tools for pre/post-processing data for AI and other usage
Develop tools for collecting and processing data
Design scalable pipelines for data collection, processing, and transformation powering next-generation AI systems 
Bring new models and features to production at scale with Triton Inference Server, ONNX, and TensorRT
Work across the spectrum from rapid MVPs and experimental prototypes to robust, long-term production-grade solutions
Work closely with ChatGPT API, LangChain

Experience with algorithms, data structures and graphs
Knowledge of other programming languages (e.g., Kotlin, Java)
Deep experience in mathematics (especially linear algebra), geometry, computer vision 
Understanding of 2D / 3D technologies and software (for example OpenGL, WebGL, Raytracing, Blender)

Proficient in Python as the primary language with strong problem-solving and analytical skills
Demonstrated ability to design, deploy, and manage scalable backend platforms in production
Understanding Docker and Kubernetes concepts
Practical experience managing challenges throughout the AI/ML lifecycle, from deployment and orchestration to model management
Ability to translate complex business domains into software models using Domain-Driven Design, supported by SOLID and clean coding practices
Ability to adapt quickly, learn new tools, and work independently on complex problems
Computer Science or Math degree
English Intermediate+