AI/ML Technical Specialist
Workplace: Stockholm, Sweden
Expires: October 17, 2025
Work hands-on with AI models, ML infrastructure, and systems that make a difference. Seeking a technical specialist with deep knowledge in machine learning and a drive to create robust, scalable, and future-proof solutions.
Main requirements:
- Master or PhD education in AI, ML, computer science or similar
- Strong programming skills in Python
- Experience with frameworks like PyTorch or TensorFlow
- Practical experience with MLOps and structured experiment management
- Understanding of distributed systems and big data handling
- Good knowledge of AI architecture and long-term technical sustainability
Responsibilities:
- Develop and optimize AI models for NLP, computer vision, or LLM applications
- Build and operate ML pipelines for training, validation, and production
- Customize models for various business needs and environments
- Work on performance optimization, efficiency, and scalability
- Integrate AI components with other systems and APIs
- Contribute to AI solution development through data engineering and new ML methods
- Stay updated with tools, techniques, and best practices in the field
Required hard skills:
- Python programming
- PyTorch or TensorFlow
- MLOps methodologies
- Experiment management
- Distributed systems knowledge
- AI system architecture
Recommended hard skills:
- Contributions to open source AI/ML projects
- Publications or experience with large-scale AI systems
- Specialization in transformers, computer vision or other areas
- Experience with AI services on cloud platforms
- Optimization of ML solutions for speed and accuracy
- Interest in new methods beyond established frameworks
Soft skills:
- Drive to create robust, scalable solutions
- Ability to work hands-on and collaborative
- Continuous learning mindset
- Passion for technology, quality, and knowledge sharing
Coding languages:
- Python
Frameworks:
- PyTorch
- TensorFlow
Natural languages:
- English (Proficient)
- Swedish (Working knowledge)
Cultural skills:
- Collaboration in expert teams
- Knowledge sharing
- Flexibility and adaptability
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