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Edge AI Engineer Wanted for Developing Machine Learning Solutions

Framtiden i Sverige AB

Skåne län, Lund

Previous experience is desired

36 days left
to apply for the job

Do you want to work with AI that is actually used in real products? Our client is now looking for an Edge AI Engineer who wants to develop and optimize machine learning solutions directly on hardware – from early prototypes to finished products in production.About the job

In this role, you will work on developing and implementing ML models for tasks such as image analysis and sensor data, as well as optimizing these to run efficiently on embedded devices. You will be involved throughout the entire chain – from data processing and model training to deployment and optimization in a production environment. The work is done in close collaboration with other developers and clients, where you help drive technical solutions forward. Responsibilities

  • Develop, train, and validate ML models in areas such as computer vision and sensor data
  • Implement and optimize models for execution directly on embedded/edge devices
  • Work on optimizations such as quantization, performance tuning, and acceleration (DSP/NPU)
  • Build and improve data pipelines for collection, preprocessing, and analysis
  • Participate in the entire product development chain – from proof of concept to production and verification
  • Collaborate closely with development teams, architects, and clients
  • Contribute to technical discussions and presentations
Requirements for the position
  • Master's or PhD in fields such as Machine Learning, Robotics, Embedded, or similar
  • At least 2 years of experience in developing and deploying ML models in production
  • Strong programming skills in Python
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Experience working with ML on embedded or edge platforms
  • Understanding of the entire ML lifecycle (training, evaluation, deployment)
  • Experience working with data pipelines and data processing
  • Fluent in English, both spoken and written
Desirable
  • Experience in computer vision or sensor-based ML
  • Experience with optimization techniques such as quantization and model compression
  • Experience with specific platforms like Qualcomm, NXP, or similar
  • Knowledge of MLOps, Docker, or CI/CD
  • Experience with cloud platforms like Azure or AWS
About you

You are an engineer who enjoys making things work in practice, not just in theory. You thrive in an environment where you collaborate closely with other competencies and where you need to explain technical decisions clearly. You are curious, keep yourself updated in AI/ML, and find it motivating to work with new technology in varied projects. At the same time, you are structured and have the ability to drive your work forward even in complex technical contexts. About our client The client is a technology-oriented company that works with advanced product development at the forefront of technology. They develop intelligent solutions where software, hardware, and AI meet, focusing on creating features that run directly in physical products. You will be part of an experienced team with strong expertise in embedded development and AI, where the majority have extensive experience in taking ideas from concept to finished product in production. The work is project-based and spans multiple industries, providing great variation in both technology and application. About Framtiden Framtiden are experts in competency-based recruitment and help companies find the right people for the right roles. Through careful analysis, structured interviews, and a large network, they ensure that both candidates and companies achieve a long-term match. With a focus on quality, transparency, and long-term value, Framtiden creates solutions that truly make a difference for both organizations and individuals. For this position, you will initially be employed through Framtiden with the opportunity to transition to employment with the client. Conditions  Location: Lund Work format: Full-time, on-site Start: As agreed We look forward to your application!

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