
Machine Learning Technology Specialist
3 days ago
About Us
Nordiska is a credit institution that provides innovative financial services for individuals and companies. Our banking-as-a-service platform is designed to empower partners to provide in-house financial services to their customers seamlessly.
Current OpportunityWe are currently looking for an AI Engineering Intern to join our Data & Analytics team in Stockholm. This role can be adjusted to fit your current study situation, so part/full time are both options.
What We OfferYou will receive the necessary conditions and support to develop within your own area of expertise, as well as learn about other parts of the business to advance within the company.
We provide a fast-paced, open, and motivating work environment with skilled colleagues, where everyone collaborates to achieve our goals together.
About the RoleAs AI Engineering Intern you will be part of our Data & Analytics team, operating within a cutting-edge, cloud-based environment. You will have the opportunity to work on our AI projects, contributing to the development and enhancement of our innovative financial platform.
You will collaborate with engineers, gaining hands-on experience in solving real life problems by applying generative AI. This internship will provide you with a unique chance to grow your skills in a fast-paced, supportive environment, and make a tangible impact on our products and services.
Requirements- Currently pursuing or recently completed a Master's degree in a technical field such as engineering or computer science.
- Strong foundation in machine learning algorithms and statistical analysis.
- Proficiency in a programming language such as Python, C#, Scala or similar.
- Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
- Excellent problem-solving skills and a keen interest in generative AI and machine learning.
- Strong communication skills, both in Swedish and English.
- Ability to work collaboratively in a team-oriented environment.
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