AI Software Developer
Workplace: Stockholm, Sverige
Expires: November 19, 2025
As an AI Software Developer at Knowit Sweden, you will play a key role in developing advanced AI applications, working with the latest AI and machine learning technologies to create scalable solutions tailored to customer needs. You will provide technical guidance, make strategic decisions on architecture and solution design, and support and inspire the team towards technical excellence in a collaborative and innovative environment.
Main requirements:
- Experience as Tech Lead or similar leadership role in AI development
- Provide technical guidance and make strategic decisions on architecture and solution design
- Support and inspire team members towards technical excellence
- Build scalable, sustainable AI solutions tailored to customer needs
Responsibilities:
- Work with latest AI and machine learning technologies
- Develop and implement scalable AI solutions
- Provide technical guidance and strategic architectural decisions
- Support and inspire team for technical excellence
Required hard skills:
- Python programming (preferably with TensorFlow, PyTorch or Scikit-learn)
- Experience with Large Language Models (LLM), Transformer architectures, and generative AI tools
- Experience with AI pipelines and MLOps tools like Kubeflow or MLflow
- Container technologies such as Docker and Kubernetes
- API development with REST and/or GraphQL
- Cloud platforms: AWS, Azure, or Google Cloud
- Building and optimizing CI/CD processes
Recommended hard skills:
- Knowledge of databases (SQL or NoSQL)
- Experience with data visualization tools like Tableau or Power BI
- Strong understanding of mathematics, statistics, and optimization
- Interest in ethical and responsible AI principles including fairness and explainability
Soft skills:
- Technical leadership
- Strategic decision making
- Team support and inspiration
- Collaboration
Coding languages:
- Python
Frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
Operating systems:
- Not specifically stated
Natural languages:
- English (Proficient)
Cultural skills:
- Innovation
- Collaboration
- Personal development
- Ethical AI focus
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