Machine Learning Engineer
Workplace: Lund, Sverige
Expires: September 1, 2025
We are looking for a skilled Machine Learning Engineer to design, build, and deploy AI/ML solutions, particularly on-device and for IoT edge use-cases, working in a collaborative and innovative environment.
Main requirements:
- Deep technical knowledge in machine learning and artificial intelligence
- Hands-on experience developing and deploying ML models
- Master’s or PhD in ML, Robotics, Autonomous Systems or related fields
- Strong programming skills in Python or similar languages
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn
- Excellent problem-solving and statistical data analysis skills
- Effective communication and teamwork ability
- Passion for continuous learning in AI/ML technologies
Responsibilities:
- Design, build, train machine learning models to solve real-world problems
- Develop ML solutions for IoT and edge devices including embedded systems and sensors
- Extract, process, and analyze large datasets to improve model performance
- Monitor, test, and optimize deployed models for accuracy, scalability, and maintainability
- Collaborate with architects, developers, project managers, and customers throughout project lifecycle
- Support sales and presales teams by understanding customer needs and participating in technical discussions
- Contribute to developing best practices, tools, and frameworks enhancing AI/ML capabilities
- Stay updated on latest AI/ML trends, tools, and technologies
Required hard skills:
- Machine learning model development and deployment
- Programming in Python or similar
- Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn
- Statistical data analysis and algorithm optimization
- Working with embedded systems and IoT devices
Soft skills:
- Excellent problem-solving abilities
- Strong communication skills
- Team-oriented and collaborative mindset
- Continuous learner mindset
Coding languages:
- Python
Frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
Natural languages:
- English (Proficient)
Cultural skills:
- Collaborative working in multinational teams
- Sharing experiences and knowledge
- Adhering to Nordic work ethic and work-life balance