Senior ML Engineer
Workplace: Stockholm, Sweden
Expires: July 30, 2025
Join True Software Scandinavia AB as a Senior Machine Learning Engineer focused on optimizing ML model training and deployment, especially on mobile devices, within a collaborative and innovative environment.
Main requirements:
  • 5+ years experience in machine learning engineering focusing on production deployment
  • Strong expertise in optimizing feature engineering, model training, and model deployment
  • Hands-on experience deploying ML models on mobile devices (TensorFlow Lite, Core ML, ONNX Runtime Mobile)
  • Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, and ONNX, especially for mobile platforms
  • Knowledge of Android and iOS development impact on ML deployment and usage
  • Excellent communication skills in English
  • Strong communication and collaboration skills working cross-functionally
  • Customer-focused mindset
Responsibilities:
  • Understand current and future ML developer and organizational needs and create a roadmap
  • Collaborate with teams to enable quick and cost-effective model production deployment
  • Optimize ML models for mobile devices through hands-on work
  • Serve as the go-to expert for mobile ML model development and deployment
  • Stay updated on latest ML engineering trends and technologies, especially ML on mobile
  • Drive continuous innovation throughout the company
Required hard skills:
  • Machine Learning Engineering
  • Model Training and Deployment
  • Mobile ML Frameworks (TensorFlow Lite, Core ML, ONNX Runtime Mobile)
  • ML Frameworks (TensorFlow, PyTorch, ONNX)
  • Android and iOS development basics
  • Roadmap Planning and Implementation
  • Cross-team Collaboration
Recommended hard skills:
  • Hands-on ML model development experience
Soft skills:
  • Strong communication and collaboration
  • Customer-focused mindset
Coding languages:
  • Python
Frameworks:
  • TensorFlow
  • PyTorch
  • ONNX
Operating systems:
  • Android
  • iOS
Natural languages:
  • English (Proficient)
Cultural skills:
  • Working in a multicultural and diverse team environment
  • Inclusivity and equal opportunity mindset
  • Adaptability to international collaboration