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ML Engineer

Global hub for home design platform with 100M+ users, offering cross-platform design software solutions.
Machine Learning
Senior Software Engineer
Remote
101 - 500 Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

Planner 5D, a leading global home design platform serving over 100 million users across 230 territories, is seeking a Senior Python Engineer to join their Machine Learning team. The company has revolutionized home renovation with cutting-edge software that makes design accessible to everyone through their cross-platform presence on Web, iOS, Android, Windows, and MacOS.

The role combines software engineering excellence with machine learning expertise, focusing on building production-ready AI systems. As a Senior ML Engineer, you'll be responsible for designing and implementing scalable services that support the entire AI lifecycle, from data collection and processing to model deployment. You'll work with modern technologies including Triton Inference Server, ONNX, TensorRT, ChatGPT API, and LangChain.

The ideal candidate should be proficient in Python, have strong experience with AI/ML systems in production, and understand containerization with Docker and Kubernetes. A background in Computer Science or Mathematics is required, along with intermediate or higher English proficiency. Additional valuable skills include experience with algorithms, data structures, computer vision, and 3D technologies.

The position offers an attractive work environment balancing freedom and responsibility, with benefits including generous vacation time, equipment provision, educational opportunities, and team events. The company maintains a collaborative culture of passionate enthusiasts eager to share knowledge and drive innovation in the home design market.

Last updated a day ago

Responsibilities For ML Engineer

  • Design, build, and maintain scalable services that support the AI lifecycle
  • Develop tools for pre/post-processing data for AI
  • Develop tools for collecting and processing data
  • Design scalable pipelines for data collection, processing, and transformation
  • Bring new models and features to production using Triton Inference Server, ONNX, and TensorRT
  • Work on MVPs, experimental prototypes, and production-grade solutions
  • Work with ChatGPT API and LangChain

Requirements For ML Engineer

Python
Kubernetes
  • Proficient in Python as primary language
  • Experience designing and deploying scalable backend platforms
  • Understanding of Docker and Kubernetes
  • Experience with AI/ML lifecycle management
  • Domain-Driven Design and SOLID principles knowledge
  • Computer Science or Math degree
  • English Intermediate+

Benefits For ML Engineer

Education Budget
Visa Sponsorship
  • 30+ days of paid holidays per year
  • Company computer equipment
  • Education courses and training budget
  • English classes on corporate platform
  • Offline company events in Lithuania
  • Online team-building
  • Unlimited free Planner5D subscriptions
  • Visa sponsorship available

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